Brief Contents - Nanyang Technological University | NTU · Brief Contents Message from General Chair 2 ... Huaguang Zhang Keynote Speaker ... All food served during the conference

April 2, 2013 8:4 Research Publishing rps-ssci13-probook: rps-ssci13-probook/

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Brief Contents

2Message from General Chair

3Keynote, Plenary & Tutorial Speakers

5Conference Location & Floor Plan

6General Information

7About Singapore

8Panel Session: Future Research and Funding Challenges for Computational Intelligence

10IEEE SSCI 2013: Keynotes & Tutorials

Symposium & Workshops : Technical Programme

27IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (IEEE ADPRL 13)

29IEEE Symposium on Artificial Life (IEEE ALIFE 2013)

32IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (IEEE CCMB 2013)

34IEEE Computational Intelligence Applications in Smart Grid (IEEE CIASG 2013)

36IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2013)

39IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (IEEE CIBIM 2013)

41IEEE Symposium on CI for Creativity and Affective Computing (IEEE CICAC 2013)

42IEEE Symposium on Computational Intelligence in Control and Automation (IEEE CICA 2013)

45IEEE Symposium on Computational Intelligence in Healthcare and e-Health (IEEE CICARE 2013)

47IEEE Symposium on Computational Intelligence for Communication Systems and Networks (IEEE CIComms 2013)

49IEEE Symposium on Computational Intelligence in Cyber Security (IEEE CICS 2013)

50IEEE Symposium on Computational Intelligence and Data Mining (IEEE CIDM 2013)

54IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (IEEE CIDUE 2013)

56IEEE Symposium on Computational Intelligence and Ensemble Learning (IEEE CIEL 2013)

57IEEE Symposium on Computational Intelligence for Engineering Solutions (IEEE CIES 2013)

59IEEE Symposium on Computational Intelligence for Financial Engineering & Economics (IEEE CIFEr 2013)

61IEEE Symposium on Computational Intelligence for Human-like Intelligence (IEEE CIHLI 2013)

63IEEE International Workshop on Computational Intelligence in Medical Imaging (IEEE CIMI 2013)

64IEEE International Symposium Computational Intelligence for Multimedia Signal and Vision Processing (IEEECIMSIVP 2013)

65IEEE Symposium on Computational Intelligence in Production and Logistics Systems (IEEE CIPLS 2013)

67IEEE Symposium on Computational Intelligence in Rehabilitation and Assistive Technologies (IEEE CIRAT 2013)

68IEEE Symposium on Computational Intelligence in Scheduling (IEEE CISched 2013)

69IEEE Symposium on Computational Intelligence for Security and Defense Applications (IEEE CISDA 2013)

71IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (IEEE CIVTS 2013)

72IEEE Symposium on Evolving and Adaptive Systems (IEEE EAIS 2013)

74IEEE Symposium on Foundations of Computational Intelligence (IEEE FOCI 2013)

76IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems (IEEE GEFS 2013)

77IEEE Workshop on Hybrid Intelligent Models and Applications (IEEE HIMA 2013)

78IEEE Symposium on Intelligent Agents (IEEE IA 2013)

80IEEE International Conference on Evolvable Systems (IEEE ICES 2013)

82IEEE Workshop on Memetic Computing (MC 2013)

83IEEE Symposium on Computational Intelligence in Multi-Criteria Decision Making (IEEE MCDM 2013)

85IEEE Workshop on Robotic Intelligence in Informationally Structured Space (IEEE RiiSS 2013)

87IEEE Symposium on Differential Evolution (IEEE SDE 2013)

89IEEE Symposium on Swarm Intelligence (IEEE SIS 2013)

92IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (IEEE T2FUZZ 2013)

000Author Index

Back CoverProgramme-at-a-Glance

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Keyn

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Keynote, Plenary & Tutorial Speakers

Panel SpeakerGary Fogel

Panel SpeakerGarry Greenwood

Panel SpeakerHisao Ishibuchi

Panel/KeynoteSpeaker

Chin-Teng (CT) Lin

Panel SpeakerNikhil R. Pal


Marios Polycarpou


Jose Principe


Paul Werbos

Panel/KeynoteSpeakerXin Yao

Keynote SpeakerHuaguang Zhang

Keynote SpeakerKatie Bentley

Keynote SpeakerMikhail

Prokopenko

Keynote SpeakerChrystopher

Nehaniv

Keynote SpeakerLeonid Perlovsky

Keynote SpeakerCuntai Guan

Keynote SpeakerPaulo Lisboa

Keynote SpeakerHong Yan

Keynote SpeakerVladimir Brusic

Keynote SpeakerIoannis Pitas

Keynote SpeakerHao Ying

Keynote SpeakerHenrique Martins

Keynote SpeakerAmir Hussain

Keynote SpeakerRatan K. Guha

Keynote SpeakerAlessandro

Sperduti

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Keynote, Plenary & Tutorial Speakers

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Tutorial SpeakerHussein Abbass

Keynote SpeakerYew-Soon Ong

Keynote SpeakerJustin Dauwels

Keynote SpeakerNarasimhan

Sundararajan

Keynote SpeakerEmilio Frazzoli

Keynote SpeakerWitold Pedrycz

Tutorial SpeakerErik Cambria

Keynote SpeakerAE (Gusz) Eiben

Keynote SpeakerJacek Mandziuk

Keynote SpeakerSanghamitra

Bandyopadhyay

Keynote SpeakerTetsuya Ogata

Keynote SpeakerFerrante Neri

Keynote SpeakerSwagatam Das

Keynote SpeakerJayadeva

Keynote SpeakerJames M. Keller

Keynote SpeakerBijaya Ketan

Panigrahi

Keynote SpeakerAmit Kumar

Keynote SpeakerDipti Srinivasan

Keynote SpeakerWlodzislaw Duch

Tutorial SpeakerJanusz Kacprzyk

Tutorial SpeakerHideyuki Takagi

Keynote SpeakerDavid Corne

Keynote SpeakerVaclav Snasel

Keynote SpeakerSuresh Sundaram

Keynote SpeakerK. C. Tan

Keynote SpeakerYaochu Jin

Keynote SpeakerMichael Beer

Keynote SpeakerValentin Ivanov

Tutorial SpeakerRobert Marks

Tutorial SpeakerAkira Namatame

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Conference Location & Floor Plan

The conference Hotel is Grand Copthorne Waterfront Hotel Havelock Road, Singapore. It is a Five Star Hotel with about570 rooms & suites. To know more, please visit:

www.millenniumhotels.com.sg/grandcopthornewaterfront/index.html

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General Information

Registration:

Registration Desk will be open 2 pm – 5.30 pm on Monday, 15th April and every day from Tuesday to Friday from 8 am.

Meals & Tickets:

Please remember to collect and check your lunch and banquet tickets during the registration. You must hand over thesetickets to hotel management at the time you enter the Grand Ball Room on Level 4. Lunch meal choices include Indian veg-etarian and international. All food served during the conference strictly exclude pork and lard.

Internet Access:

We are making arrangements to offer free wireless internet access to delegates to check their emails. The connection willbe for a limited time at each login. We may also offer a few laptops to check emails (yet to be confirmed). However, weencourage delegates to bring and use their own devices to connect to the wireless internet.

Technical Sessions

Panel session will be held in the Grand Ball Room from 3.30 pm to 5.30 pm on Tue. All keynote and tutorial lectures will beon Level 3 in Rooms Galleria and Lyrebird. Posters will be displayed on Level 4 from 9.30 am to 4.30 pm. However, authorsare expected to be near their posters during the tea-breaks. Poster boards have 1.25 m (tall) × 1 m (wide) space to displayyour posters. Please remember to collect your posters at 4.30 pm on each day as the left behind posters will be removed andthe boards will be used by other delegates on the following day.

Oral session chairs are requested to arrive 5 minutes before the start of each session. Each oral presentation room willhave an assistant. If the appointed session chair does not arrive at the start time, assistant will request a delegate to act asthe session chair whose primary responsibility to keep each session within the allotted time.

A presenter is expected to arrive before the session commences so that the presenter and chair can introduce each other.Each presentation is 20 minutes long including Q & A and change over time. Please also bring your own laser pointer foryour presentation, if required. Presenters are encouraged to use the given laptop to present PPT or PDF slides. If a particularpresentation requires special software, then the presenter will have to bring a suitable laptop. In this case, the presenter isasked to test whether the slides and other contents are properly projected onto the screen well before the actual session time.

Meetings & Other Activities

3pt Several meetings and activities are planned during the IEEE SSCI 2013. Most of these events are by invitation only. SeniorMember Promotion on several days near the registration desk. The details are given below:

Meeting Time Day/Date Venue

ISATC Meeting 12.20 pm to 1.40 pm Tuesday 16th April Bluebird Room on Level 4

ALIFE-TF meeting 12.20 pm to 1.40 pm Tuesday 16th April Canary II Room on Level 4

DMTC Meeting 1.40 pm to 3.20 pm Tuesday 16th April Bluebird Room on Level 4

BBTC Meeting 10.40 am to 12.20 pm Wednesday 17th April Bluebird Room on Level 4

ETTC Meeting 12.20 pm to 1.40 pm Wednesday 17th April Bluebird Room on Level 4

WCI meeting 12.20 pm to 1.40 pm Wednesday 17th April Oriole Room on Level 4

CIASG-TF meeting 12.20 pm to 1.40 pm Wednesday 17th April Canary II Room on Level 4

ADPRLTC Meeting 3.50 pm to 5.30 pm Wednesday 17th April Bluebird Room on Level 4

Standards Committee 12.20 pm to 1.40 pm Thursday 18th April Bluebird Room on Level 4Meeting

Games-TC meeting 12.20 pm to 1.40 pm Thursday 18th April Canary II Room on Level 4

FML, ECML and XES 3.50 pm to 5.30 pm Thursday 18th April Kingfisher Room on Level 4 (Open to all)Standardization Meeting

CFETC Meeting 10.40 pm to 12.20 pm Friday 19th April Bluebird Room on Level 4

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About Singapore

Singapore is a dynamic city rich in contrast and color where you can find a harmonious blend

of culture, cuisine, arts and architecture. The city offers countless unique, memorable

experiences waiting to be discovered. Singapore has grown into a thriving centre of commerce

and industry. Singapore’s Central Business District spreads across both the central and

southern parts of the island. Singapore’s geographical location is 136.8 km north of the

equator, between latitudes 103°38’E and 104°06’E. For more information please click to visit

Your Singapore – Singapore Tourism Board’s official tourism website.

Key Information at a Glance

Climate

Singapore is known for its hot and humid weather, with little variation throughout the year.

The average daytime temperature is 31°C (88°F), dropping to around 24°C (75°F) in the

evenings

People

The population is just over 4 million. Ethnic Chinese form 74.2% of the Singaporean population,

with the country's original inhabitants – the Malays, comprising of 13.4%. The Indians make up

9.2%, and Eurasians, Peranakans and others making up a combined 3.2%.

Language

English is the main working language in Singapore. Other official languages used are Mandarin,

Malay and Tamil.

Transportation

Getting around Singapore is fairly easy: the public transportation system (MRT, LRT and buses)

is relatively easy to use and taxis are reasonably priced when you can get one. Most people

arrive in Singapore by air. Its status as a major airline hub in Asia makes Singapore a natural

starting or ending point for a multi‐country tour of Southeast Asia. Most large international

airlines have routes to Singapore, in addition to the island’s own highly regarded airline,

Singapore Airlines.

Currency

The currency used in Singapore is the Singapore dollar (S$). Money changing services can be

found not only at the Singapore Changi Airport but also at most shopping centres and hotels

around the island. You can also access the automated teller machines (ATMs) located

everywhere in Singapore, that accept most of the main credit cards such as Visa, Master Card

and American Express.

Visa

Most foreigners coming into Singapore do not require visas for entry and may be given social

visit passes for up to 30 days upon their arrival in Singapore. However, it is best to consult your

local consular office for the latest information with regards to coming into Singapore. If you

would like to stay in Singapore for a longer period, you may apply to the Immigration &

Checkpoints Authority (ICA) upon your arrival. You should have a valid passport with at least 6

months validity, onward or return tickets, onward facilities (such as visas or entry permits) to

your next destination, and of course, sufficient funds for your stay in Singapore.

Electricity

Singapore uses the “Type G” (British 3‐pin rectangular blade) electrical plug. Voltage is 230V,

50Hz.

Cell Phone Usage

Singapore’s international dialing code is +65. While in Singapore if you have international

roaming service on your cell phone, you do not have to press +65 as it will automatically

connect you to the local numbers here.

Useful Telephone Numbers

Conference Secretariat 65 ‐ 6875 5563 & 65 - 9697 3922

Emergency/Medical Police 999 (toll‐free)

Ambulance 995 (toll‐free) 1777 (non‐emergency)

Flight Information 1800 542 4422

Singapore Immigration Department (65) 6391 6100

Singapore Tourism Board 24hrs Touristline 1800 736 2000

Global Refund Singapore (GST Refund) (65) 6225 6238

Taxi Service

Dial‐A‐Cab (65) 6342 5222

CityCab (65) 6552 1111

Comfort Taxi (65) 6552 1111

SMRT Taxis (65) 6555 8888

SMART Cabs (65) 6485 7777

TransCab (65) 6555 3333

Premier Taxis (65) 6363 6888

Prime Taxi (65) 6778 0808

Yellow‐Top Taxi (65) 6293 5545

Credit Cards

American Express 1800‐296‐0220

Visa Global Customer Assistance 800‐4481‐250

MasterCard Global Service 800‐1100‐113

Diners Club (65) 6292 7566


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IEEE SSCI 2013: Panel Session

Panel: Future Research and Funding Challenges for Computational IntelligenceDate/Time: 16 April Tue, 3.30 pm – 5.30 pm Venue: Grand Ball Room

Dr. Gary Fogel, Natural Selection Inc., USA.

Dr. Gary B. Fogel joined Natural Selection, Inc. in 1998 after completing the Ph.D. in biology from UCLA. His current researchinterests focus on the application of computational intelligence methods to problems in the biomedical sciences. Theseinclude biomarker discovery, sequence analysis, microRNA discovery, drug design, improved diagnosis, and biomedicalpattern recognition. Dr. Fogel leads Natural Selection, Inc.’s efforts in biomedicine but also has led projects for industrialand defense related applications.

Dr. Fogel is a Fellow of the IEEE and member of Sigma Xi. He currently serves as editor-in-chief of BioSystems and asan associate editor for IEEE Transactions on Evolutionary Computation. He co-edited a volume on Evolutionary Computationin Bioinformatics published in 2003 (Morgan Kaufmann) and Computational Intelligence in Bioinformatics, published in 2008(Wiley-IEEE Press). Dr. Fogel has assisted with many conferences and served as Conference Chair for the 2010 IEEE Congresson Evolutionary Computation, and as general chair for the 2004 and 2005 IEEE Symposia on Computational Intelligencein Bioinformatics and Computational Biology. Dr. Fogel serves on the IEEE Computational Intelligence Society ExecutiveCommittee (ExCom) as Vice President for Conferences (2010-2012).

Dr. Fogel’s responsibilities as CEO are to provide leadership towards maintaining Natural Selection, Inc.’s excellence inreal-world applications of computational intelligence methods. Dr. Fogel assists in developing and advancing a companystrategic plan for its mission and objectives and promotes revenue, profitability, and growth. Dr. Fogel oversees businessoperations to ensure production efficiency, quality, service, and cost-effective management of resources. He assists in devel-oping and authorizing company operational procedures, policies, and standards.

Dr. Garry Greenwood, Portland State University, USA.

Garrison Greenwood received a Ph.D. in Electrical Engineering from the University of Washington in Seattle, Washington.After spending more than a decade in industry designing multiprocessor embedded system hardware he entered

academia. Since 2000 he has been a professor in the Department of Electrical and Computer Engineering at Portland StateUniversity in Portland, Oregon.He has served on numerous conference organizing committees including the General Chairof the IEEE Congress on Evolutionary Computation in 2004 and 2012. From 2006 to 2009 he was the Vice-President (Confer-ences) for the IEEE Computational Intelligence Society. He is currently the Editor-in-Chief of the IEEE Transactions on Evo-lutionary Computation. His research interests are evolutionary game theory, agent-based systems and evolvable/adaptivehardware. Dr. Greenwood is a registered profession electrical engineer in the State of California.

Dr. Hisao Ishibuchi, Osaka Prefecture University, Japan.

Dr. Hisao Ishibuchi has been a full professor at Graduate School of Engineering, Osaka Prefecture University since 1999. Hisresearch interests include evolutionary multiobjective optimization, fuzzy rule-based classifiers, and evolutionary games.He received a JSPS Prize in 2007, and a Best Paper Award from GECCO 2004, HIS-NCEI 2006, FUZZ-IEEE 2009, WAC 2010,SCIS & ISIS 2010 and FUZZ-IEEE 2011. Currently, he is the IEEE CIS Vice-President for Technical Activities, and an AssociateEditor of IEEE CIM, IEEE T-FS, IEEE T-EVC, IEEE T-CYB, and IEEE Access. He is also a Program or Technical Co-Chair ofSSCI 2013, CEC 2013, FUZZ-IEEE 2013, and CEC 2014.

Dr. Chin-Teng (CT) Lin, National Chiao-Tung University, Taiwan.

Professor Chin-Teng Lin received the B.S. degree from National Chiao-Tung University (NCTU), Taiwan in 1986, and theMaster and Ph.D. degree in electrical engineering from Purdue University, USA in 1989 and 1992, respectively. He is cur-rently the Provost, Lifetime Chair Professorof Electrical and Computer Engineering, and Director of Brain Research Center,National Chiao Tung University. He is also invited as the International Faculty of University of California at San-Diego(UCSD) from 2011 to 2013. Professor Lin was elected to be an IEEE Fellow for his contributions to biologically inspired infor-mation systems in 2005. He was awarded the Outstanding Electrical and Computer Engineer (OECE) by Purdue Universityin 2011. Professor Lin has also served as the Editor-in-Chief (EIC) of IEEE Transactions on Fuzzy Systems(Impact Factor: 4.26,Top 4.5% of all 111 Computer Science journals, and 3.5% of 244 Electrical Engineering category) since 2011; he is the firstand only one EIC of IEEE journals from Taiwan. Professor Lin is also the Co-Founding Editor-in-Chief of Journal of Neuro-science and Neuroengineering published by American Scientific Publishers since 2012. He received the Merit NSC ResearchFellow Award by National Science Council (NSC) of Taiwan in 2007, the highest and lifetime research achievements awardin Taiwan NSC; he was the youngest one receiving this awards.

Professor Lin has been granted a project Cognition and Neuroergonomics;Collaborative Technology Alliance (CTA)from2010 to 2014 by Army Research Lab of USA, the first time that ARL supports on Taiwan’s organization for cognition research,and it is one of the major projects of neuroscience and engineering research in USA. Professor Lin has published about

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170 journal papers (including more than 70 High Impact papers), 2 text books, and over 200 conference papers. He also has26 approved patents in total over 50 issued patents. According to the statistics of Google Scholar, Prof. Lin’s h-Index is 36(with 36 papers receiving more than 36 citations) and total citation is 8778.

Dr. Nikhil R Pal, Indian Statistical Institute, India.

Nikhil R. Pal is a Professor in the Electronics and Communication Sciences Unit of the Indian Statistical Institute. His cur-rent research interest includes bioinformatics, brain science, fuzzy logic, image and pattern analysis, neural networks, andevolutionary computation.

He was the Editor-in-Chief of the IEEE Transactions on Fuzzy Systems for the period January 2005-December 2010. Hehas served/been serving on the editorial /advisory board/ steering committee of several journals including the Interna-tional Journal of Approximate Reasoning, Applied Soft Computing, Neural Information Processing–Letters and Reviews,International Journal of Knowledge-Based Intelligent Engineering Systems, International Journal of Neural Systems, FuzzySets and Systems ,International Journal of Intelligent Computing in Medical Sciences and Image Processing, Fuzzy Informa-tion and Engineering : An International Journal, IEEE Transactions on Fuzzy Systems and the IEEE Transactions on SystemsMan and Cybernetics – B.

He has given many plenary/keynote speeches in different premier international conferences in the area of computationalintelligence. He has served as the General Chair, Program Chair, and co-Program chair of several conferences. He wasa Distinguished Lecturer of the IEEE Computational Intelligence Society (CIS) and was a member of the AdministrativeCommittee of the IEEE CIS (2010-2012). At present he is the Vice President for Publications of the IEEE CIS. He is theGeneral Chair of 2013 IEEE International Conference on Fuzzy Systems.

He is a Fellow of the National Academy of Sciences, India, a Fellow of the Indian National Academy of Engineering,a Fellow of the Indian National Science Academy, a Fellow of the International Fuzzy Systems Association (IFSA), and aFellow of the IEEE, USA.

Dr. Marios Polycarpou, University of Cyprus, Cyprus.

Marios M. Polycarpou is a Professor of Electrical and Computer Engineering and the Director of the KIOS Research Centerfor Intelligent Systems and Networks at the University of Cyprus. He received the B.A. degree in Computer Science and theB.Sc. degree in Electrical Engineering both from Rice University, USA in 1987, and the M.S. and Ph.D. degrees in ElectricalEngineering from the University of Southern California, in 1989 and 1992 respectively. In 1992, he joined the University ofCincinnati, Ohio, USA, where he reached the rank of Professor of Electrical and Computer Engineering and Computer Sci-ence. In 2001, he was the first faculty to join the newly established Department of Electrical and Computer Engineering at theUniversity of Cyprus, where he served as founding Department Chair from 2001 to 2008. His teaching and research interestsare in intelligent systems and networks, automation and computational intelligence, fault diagnosis and distributed systems.Dr. Polycarpou has published more than 220 articles in refereed journals, edited books and refereed conference proceedings,and he is the holder of 3 patents. Prof. Polycarpou is a Fellow of the IEEE and currently serves as the President of the IEEEComputational Intelligence Society. He has served as the Editor-in-Chief of the IEEE Transactions on Neural Networks andLearning Systems between 2004-2010. He has been invited as Keynote Plenary Speaker at 15 international conferences duringthe last three years and is currently an IEEE Distinguished Lecturer in computational intelligence. He participated in morethan 50 research projects/grants, funded by several agencies and industry in the European Union, the United States, and bythe Research Promotion Foundation of Cyprus. He has recently been awarded the prestigious European Research Council(ERC) Advanced Grant by the European Commission.

Dr. Jose Principe, University of Florida, USA.

Jose C. Principe (M’83-SM’90-F’00) is a Distinguished Professor of Electrical and Computer Engineering and BiomedicalEngineering at the University of Florida where he teaches advanced signal processing, machine learning and artificial neuralnetworks (ANNs) modeling. He is BellSouth Professor and the Founder and Director of the University of Florida Computa-tional NeuroEngineering Laboratory (CNEL) www.cnel.ufl.edu . His primary area of interest is processing of time varyingsignals with adaptive neural models. The CNEL Lab is studying signal and pattern recognition principles based on informa-tion theoretic criteria (entropy and mutual information) and applying these advanced algorithms to Brain Machine Interfaces(both motor as well as somatosensory feedback).

Dr. Principe is an IEEE, ABME, AIBME Fellow. He is the Past-Editor in Chief of the IEEE Transactions on BiomedicalEngineering, past Chair of the Technical Committee on Neural Networks of the IEEE Signal Processing Society, and Past-President of the International Neural Network Society. He received the IEEE EMBS Career Award, and the IEEE NeuralNetwork Pioneer Award. He has Honorary Doctor Degrees from the U. of Reggio Calabria Italy, S. Luis Maranhao Braziland Aalto U. in Finland. Currently he is the Editor in Chief of the IEEE Reviews in Biomedical Engineering. Dr. Principe hasmore than 600 publications. He directed 73 Ph.D. dissertations and 65 Master theses. He wrote four books: an interactiveelectronic book entitled “Neural and Adaptive Systems: Fundamentals through Simulation” (Wiley), “Brain Machine Inter-face Engineering”, Kernel Adaptive Filtering (Wiley), and Information Theoretic Learning (Springer).

Dr. Paul Werbos, National Science Foundation, USA.

Dr. Paul Werbos has responsibility for the following Core ECCS areas: Adaptive and Intelligent Systems (AIS), Quantum

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systems and device modeling (QMHP), and systems-level power grids (GRID). Use of these acronyms in a proposal titlewould encourage us to handle them in the panels for those areas. Also handles the EFRI 2008 topic in Cognitive Optimizationand Prediction (engineering-neuroscience collaboration to reverse engineer intelligence).

Dr. Werbos has led a variety of other areas, such as fuel cell and electric vehicles, emerging technologies, cyber systemsand the sustainability part of IDR since he started at NSF in 1988. He is a Fellow of IEEE and INNS, a winner of the IEEENeural Networks Pioneer Award and winner of the Hebb Award for 2011 from the International Neural Network Society(INNS). The Hebb Award is INNS’s highest award, to honor substantive contributions to the understanding of biologicallearning systems. The biography going with this award reads:

Paul Werbos began training as a mathematician, taking many university courses culminating in the graduate course inlogic from Alonzo Church at Princeton while in middle and high school. Realizing the limits of deductive logic, he beganhis quest to understand inductive logic and intelligence in the mind back in those days, inspired by the work of John VonNeumann, Donald Hebb and early AI (Feigenbaum and Feldman). He obtained two degrees in economics from Harvardand the London School of Economics, divided equally between using mathematical economics as a model for distributedintelligence and developing some broader understanding. For his Harvard M.S. , he took courses in quantum field theory(QFT) from Julian Schwinger, but did not fully understand the subject until many years later, after he started an activity inquantum technology and modeling at NSF (see his papers at http://arxiv.org/.) For his 1974 Harvard PhD thesis (reprintedin The Roots of Backpropagation, Wiley 1994), he proposed the development of more powerful, more biologically plausi-ble reinforcement learning systems by the then new idea of using neural networks to approximate dynamic programming(ADP), including the value function. In order to implement ADP in a local biologically plausible manner, he translatedFreud’s theory of “psychic energy” into an algorithm later called backpropagation, and a rigorous general theorem, thechain law for ordered derivatives, which later also became known as the reverse method or adjoint method for automaticor circuit-level differentiation. He has spent many years advancing the fields of ADP and backpropagation and brain-likeprediction, aimed at developing and demonstrating the kind of designs which could actually explain the kind of generalintelligence we see in the brain and in subjective human experience – collaborating at times with Karl Pribram and WalterFreeman and Pellionisz among others, and proposing biological experiments to test the theory. In looking for applicationswhich are really important to areas like energy, sustainability and space, he has also gotten deep into domain issues andorganization, as reflected at http://www.werbos.com/, serving on boards of the National Space Society, the MillenniumProject, the Lifeboat Foundation, and the IEEE Energy Policy Committee, and as a Fellow in the Senate in 2009. From 1980-1989, he developed official econometric forecasting models (two based on backpropagation) and was lead analyst for thelong-term future at EIA in the Department of Energy.

Dr. Xin Yao (Moderator), University of Birmingham, UK.

Xin Yao is a Chair (Professor) of Computer Science and the Director of CERCIA (the Centre of Excellence for Research inComputational Intelligence and Applications), University of Birmingham, UK. He is an IEEE Fellow and a DistinguishedLecturer of IEEE Computational Intelligence Society (CIS). His work won the 2001 IEEE Donald G. Fink Prize Paper Award,2010 IEEE Transactions on Evolutionary Computation Outstanding Paper Award, 2010 BT Gordon Radley Award for BestAuthor of Innovation (Finalist), 2011 IEEE Transactions on Neural Networks Outstanding Paper Award, and many otherbest paper awards at conferences. He won the prestigious Royal Society Wolfson Research Merit Award in 2012 and wasselected to receive the 2013IEEE CISEvolutionary Computation Pioneer Award. He was the Editor-in-Chief (2003-08) ofIEEE Transactions on Evolutionary Computation. He has been invited to give more than 70 keynote/plenary speeches atinternational conferences.

His major research interests include evolutionary computation and ensemblelearning. He has more than 400 refereedpublications in international journals and conferences.


Keynote: Intelligent Adaptive Optimal Control: Algorithms and StabilityEvent: IEEE ADPRL – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 13.30 – 14.30, Wed. 17 April 2013

Speaker: Huaguang ZhangHuaguang Zhang received the Ph.D. degree from SoutheastUniversity, Nanjing, China, in 1991. From 1992 to 1994, he didhis postdoctoral research at NortheasternUniversity, Shenyang, China. He has been with NortheasternUniversity since 1991,and is currently as a Full Professor and Head of Electrical Automation Institute, NortheasternUniversity. He has authoredand coauthored over 200 journal and conference papers, five monographs and co-invented more than 20 patents. He hasbeen serving as an Associate Editor of Automatica since 2008, an Associate Editor of IEEE Transactions on Neural Net-works since 2009, an Associate Editor of IEEE Transactions on Fuzzy Systems since 2008, and an Associate Editor of IEEETransactions on Systems, Man, and Cybernetics-Part B since 2007. He served as Chair or Co-Chair of more than 30 inter-national conferences. He was the recipient of National Excellent Young Science Foundation Award in 2003 and Excellent

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Young Professor Award of China in 2002. He was nominated as the Changjiang Scholar by China Education Ministry in2005, and was awarded National Excellent Postdoctoral Research Fellow Award in 2005, China. He received a second prizeof State Technological Invention in 2007 and a second prize of State Scientific and Technological Progress in 2010 from theChinese government, respectively. He has been serving as the Chairman of IEEE Shenyang subsection and the Chairman ofIEEE Computational Intelligence Society Shenyang Chapter since 2010. He has also been a Chair of the Adaptive DynamicProgramming and Reinforcement Learning (ADPRL) Technical Committee of the IEEE Computational Intelligence Societysince 2012. His current research interests include Adaptive Dynamic Programming, Fuzzy System Theory, Fuzzy Control,Neural Network-Based Control, Adaptive Control, Chaotic Control, and Complex Industry Process Automation.

Keynote: General-purpose RLADP: Solving the Scaling ProblemEvent: IEEE ADPRL – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 14.30 – 15.30, Wed. 17 April 2013

Speaker: Paul WerbosFor biography, please refer page no – 9

Keynote: Artificial Life in the Fight Against Cancer – 1032Event: IEEE ALIFE – 2013 Venue: Lyrebird, Level 3Date/Time: 10.30 – 11.30, Tue. 16 April 2013

Speaker: Katie BentleyDr. Katie Bentley is a senior scientific officer in the Vascular Biology Laboratory, Cancer Research UK, London ResearchInstitute. She has just been made a PI in the Pathology Dept of Beth Israel Hospital, Harvard Medical School, and is in theprocesses of starting a new interdisciplinary modelling group to study morphogenesis in vascular diseases. She has recentlydeveloped a strong international reputation for building an unusually predictive agent-based model focused on the plasticityof vascular morphogenesis mechanisms under different conditions through a “symbiotic” approach of modelling with neartotal immersion into the experimentalists world. She originates from the Artificial Life community at Sussex University(EASy MSc 2002) and went on to gain her PhD from UCL (2006) in the area of environmentally driven morphogenesisof natural and artificial systems, collaborating with biologists at the Natural History Museum, London. She is a regularlysolicited reviewer for computational and biological journals on vascular modelling topics and has been an invited speakerat numerous international conferences, most recently: Gordon Research Conference Endothelial Cell Phenotpyes in Healthand Disease (Tuscany 2011).

Keynote: Information Dynamics at the Edge of Chaos – 1031Event: IEEE ALIFE – 2013 Venue: Lyrebird, Level 3Date/Time: 15.30 – 16.30, Wed. 17 April 2013

Speaker: Mikhail ProkopenkoDr. Mikhail Prokopenko is a Principal Research Scientist in CSIRO ICT Centre, Sydney, Australia. He has a strong interna-tional reputation in the areas of complex self-organizing systems, with 120 publications and patents, including an editedbook (“Advances in Applied Self-organizing Systems”, Springer, 2008). He received a PhD in Computer Science (2002, Aus-tralia), and MSc in Applied Mathematics (1988, USSR). DrProkopenko has co-organized and co-chaired the series of Inter-national Workshops on Guided Self-organization (GSO); was a keynote speaker at 3rd International Workshop on Compu-tation in Cyber-Physical Systems (Mexico, 2012), NeFF-Workshop on Non-linear and model-free Interdependence Measuresin Neuroscience (Germany, 2012), GSO-2010 (USA) and other events. Most recently, DrProkopenko served as an editor ofspecial issues on Complex Networks (Artificial Life), and Guided Self-organization (HFSP, Theory in Biosciences, Advancesin Complex Systems), and a section editor for Encyclopaedia of Machine Learning (Evolutionary Computation). He is anHonorary Associate at University of Sydney.

Keynote: Interaction and Experience in Enactive Intelligence and Humanoid Robotics – 1033Event: IEEE ALIFE – 2013 Venue:Date/Time:

Speaker: Chrystopher NehanivProfessor Chrystopher L. Nehaniv is a Ukrainian-American mathematician and computer scientist. He received his BScwith honors from the University of Michigan, Ann Arbor in 1987, where he studied mathematics, biology, linguistics and

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cognitive science, and his PhD in Mathematics from the University of California at Berkeley in 1992. He has held academicandresearch positions in at Berkeley, Japan (professorship at University of Aizu, 1993-1998), and Hungary, and since 2001is Research Professor of Mathematical and Evolutionary Computer Science at the University of Hertfordshire in the U.K,where he plays leading roles in the Algorithms, BioComputation, and Adaptive Systems Research Groups. He is author ofover 200 publications and 30 edited volumes in computer science, mathematics, interactive systems, artificial intelligence,and systems biology, and is also coauthor of a monograph on algebraic theory of automata networks. Prof. Nehaniv is theChair of the IEEE Computational Intelligence Society Task Force on Artificial Life and Complex Adaptive Systems, andassociate editor of the journals Interaction Studies and BioSystems. He currently co-coordinates the EU FET UnconventionalComputing project BIOMICS which explores the Biological and Mathematical basis of Interaction Computing (2012-2015).Prof. Nehaniv has contributed as co-PI in, among many other UK and EU grants, the EU funded Cogniron, RobotCub(producing the iCub humanoid), and ITALK projects which pioneered artificial intelligence for human-robot interaction andenactive developmental cogntiive architectures harnessing imitation and linguistic learning via contingent social interaction.His work brings novel mathematical approaches, especially computer algebraic automata theory (Krohn-Rhodes theory)and information-theoretic methods, to interactive and computationally intelligent systems of all kinds. His current researchinterests focus on interaction, development and enaction in biological and artificial systems, the notion of first and second-person experience (including phenomenological and temporally extended experience in ontogeny) in humanoids and livingthings, as well as on mathematical and computer algebraic foundations and methods for complex adaptive systems.

Keynote: Language and Cognition:Concepts, Emotions and MusicEvent: IEEE CCMB – 2013 Venue: Lyrebird, Level 3Date/Time: 9.30 – 10.30, Thu. 18 April 2013

Speaker: Leonid PerlovskyDr. Leonid Perlovsky is Visiting Scholar at Harvard University, Principal Research Physicist and Technical Advisor at the AirForce Research Laboratory. He leads research on cognitive algorithms for detection, tracking fusion, mathematical modelsof the mind, language and cognition, evolution of cultures. As Chief Scientist at Nichols Research, a $500mm high- techorganization, he led the corporate research in intelligent systems. He served as professor at Novosibirsk University and NewYork University; as a principal in commercial startups developing tools for biotechnology, text understanding, and financialpredictions. He is invited as a keynote plenary speaker and tutorial lecturer worldwide; published more than 450 papers; 12book chapters; and 4 books including “Neural Networks and Intellect,” Oxford University Press, 2001 (currently in the 3rdprinting) and “Emotional, Cognitive, Neural Algorithms with Engineering Applications,” Springer 2011; awarded 2 patents.Dr. Perlovsky is active at the IEEE and the International Neural Network Society (INNS); he serves on the INNS Board ofGovernors, as a Chair of The Award Committee. He serves on the Editorial Board of twelve professional journals, includingEditor-in-Chief for “Physics of Life Reviews” (IF=7.2, T-F rank#4 in the world). He received National and Internationalawards including the Best Paper Award 2001 from Zvezda, a leading Russian essayistic magazine; the Gabor Award 2007,the top engineering award from the INNS; and the John McLucas Award 2007, the highest US Air Force Award for basicresearch.

Keynote: Brain-Computer Interface and its Potential New ApplicationsEvent: IEEE CCMB – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 11.30 – 12.30, Thu 18 April 2013

Speaker: Cuntai GuanDr. Cuntai Guan received his Ph.D. degree in Electrical and Electronic Engineering from Southeast University in 1993. Heis a Principal Scientist and Department Head at the Institute for Infocomm Research, Agency for Science, Technology andResearch (A*STAR), Singapore. His current research interests include neural and biomedical signal processing; neural andcognitive process and its clinical application; brain-computer interface algorithms, systems and its applications. He was therecipient of several awards including g.tec Annual BCI Research Award 2010, IES Prestigious Engineering AchievementAward 2009, etc. He has published over 160 refereed journal and conference papers?and holds 13 granted patents and appli-cations. He delivered over 30 keynote and invited talks. He serves in the editorial board of IEEE Access, IEEE Transactionson Biomedical Engineering, and Frontiers in Neuroprosthetics. He is a senior member of IEEE.

Keynote: How to Get Real Benefits from Real Intelligence in the GridEvent: IEEE CIASG – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 11.30 – 12.30, Tue. 16 April 2013

Speaker: Paul WerbosFor biography, please refer page no – 9.

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Keynote: Interpretability in Computational IntelligenceEvent: IEEE CIBCB – 2013 Venue: Lyrebird, Level 3Date/Time: 2.30 – 3.30, Tue. 16 April 2013

Speaker: Paulo LisboaPaulo Lisboa is Professor in Industrial Mathematics in the School of Computing and Mathematical Sciences at LiverpoolJohn Moores University and Research Professor at St Helens & Knowsley Teaching Hospitals. His research is focused oncomputer- based decision support in healthcare and data analytics in public health, sports science and computational mar-keting. In particular he has an interest in principled approaches to interpretable modelling of non-linear data and processes.

He has over 250 refereed publications with awards for citations. He chairs the Medical Data Analysis Task Force in theData Mining Technical Committee of the IEEE-CIS and is Associate Editor for IET Science Measurement and Technology,Neural Computing Applications, Applied Soft Computing and Source Code for Biology and Medicine. He is also a memberof the EPSRC Peer Review College and an expert evaluator for the European Community DG-INFSO.

Keynote: Pattern Recognition Methods for Biomolecular Data AnalysisEvent: IEEE CIBCB – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 3.30 – 4.30, Wed. 17 April 2013

Speaker: Hong YanHong Yan received his Ph.D. degree from Yale University. He was Professor of Imaging Science at the University of Sydneyand is currently Professor of Computer Engineering at City University of Hong Kong. His research interests include imageprocessing, pattern recognition and bioinformatics, and he has over 300 journal and conference publications in these areas.Professor Yan was elected an IAPR fellow for contributions to document image analysis and an IEEE fellow for contributionsto image recognition techniques and applications.

Keynote: Knowledge-based systems in immunology: data mining of vaccine targets from viral pathogensEvent: IEEE CIBCB – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 8.30 – 9.30, Thu 18 April 2013

Speaker: Vladimir BrusicDr. Brusic is the Director of the Cancer Vaccine Center Bioinformatics Core at Dana-Farber Cancer Institute, and Princi-pal Associate in Medicine Harvard Medical School. He is also a Professor of Computer Science at the Metropolitan College,Boston University. Previously, Dr.Brusic worked at the Walter and Eliza Hall Institute, Melbourne, Australia as bioinformati-cian, and at the Institute for Infocomm Research, Singapore where he was head of the Knowledge Discovery Department,and University of Queensland where he was Professor of Bioinformatics and Database Management.

Dr. Brusic holds BEng (Mechanical Engineering), MEng (Biomedical Engineering), MAppSci (Info Tech), MBA, and PhDdegrees. He also holds a honorary doctorate (Doctor honoriscausa) from Semmelweis University, Budapest, Hungary. Hisresearch interests span the fields of biological databases, data mining, computational models of biological systems, simula-tion of molecular interactions, and biological discovery using simulation of laboratory experiments. The main focus of hiswork is computational modeling of complex biological systems such as immune system genome, and proteome.

He works on the development and application of computational methods in immunology and computer-aided devel-opment of vaccines. He has contributed a number of pioneering studies in computational immunology and immune-informatics. He introduced the use of several advanced machine learning techniques and developed novel algorithms foridentification of T-cell epitopes and selection of vaccine targets. His current work includes development of computationalsolutions for the study of B-cell epitopes and integrative approaches to vaccine formulations. He is developing knowledge-based systems for biological data mining and knowledge discovery. DrBrusic is member of several editorial boards of scien-tific journals and has contributed to numerous scientific meetings.

Keynote: Discriminant Non-negative Matrix Factorization for Facial Image AnalysisEvent: IEEE CIBIM – 2013 Venue: Lyrebird, Level 3Date/Time: 11.30 – 12.30, Tue. 16 April 2013

Speaker: Ioannis PitasyIOANNIS PITAS received the Diploma of Electrical Engineering in 1980 and the PhD degree in Electrical Engineering in1985, both from the University of Thessaloniki, Greece. Since 1994 he has been a Professor at the Department of Informatics,University of Thessaloniki, Greece. From 1980 to 1993 he served as Scientific Assistant, Lecturer, Assistant Professor, andAssociate Professor in the Department of Electrical and Computer Engineering at the same University. He leads funded

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R&D projects in CERTH/ITI.He is an IEEE fellow (2007), IEEE Distinguished Lecturer (2012) and EURASIP fellow (2013).He served as Visiting Professor and ASI fellow at the University of British Columbia, Canada, as Visiting Professor at YonseiUniversity, Korea, EcolePolytechniqueFederale de Lausanne, Switzerland, at Tampere University of Technology, Finland, asVisiting Assistant Professor at the University of Toronto and as a Visiting Research Associate at the University of Toronto,Canada and at the University of Erlangen-Nuernberg, Germany. He was Chair of the School of Graduate studies in com-puter science at the University of Thessaloniki. He cooperates with CERTH/ITI in funded R&D projects. His current interestsare in the areas of intelligent digital media, digital image/video processing, multimedia signal processing, human centeredcomputing computational intelligence and computer vision. He has published over 700 papers, contributed in 39 books andauthored, co-authored, edited, co-edited 8 books in his area of interest. He is the co-author of the books “Nonlinear DigitalFilters: Principles and Applications” (Kluwer, 1990), ’3D image processing algorithms’ (Wiley 2000). He is the author of thebooks ’Digital Image Processing Algorithms’ (Prentice Hall, 1993), ’Digital image processing algorithms and applications’(Wiley 2000), ’Digital image processing’ (in Greek, 1999). He is the editor of the book “Parallel Algorithms and Architecturesfor Digital Image Processing, Computer Vision and Neural Networks” (Wiley, 1993) and co-editor of the book ’NonlinearModel-Based Image/Video Processing and Analysis’ (Wiley 2000). He is also the editor of the book “Digital Television anddigital video processing” (in Greek 2010). Dr Pitas has been member of the European Community ESPRIT Parallel ActionCommittee. He had 10 academic occupation and visits in universities abroad.He co-organized 12 special sessions in con-ferences, 8 special issues in scientific journals. He is/was editor in 22 journals. He gave 49 invited lectures, was member ofthe program committee of more than 248 scientific conferences and workshops and was chair of more than 39 conferencesessions. He supervised 16 completed PhD theses. He was reviewer in 52 scientific journals, 290 conferences, 33 R&D fund-ing agencies and 4 publishers. He participated in 20 national and international committees and he had a major role in theorganization of 14 conferences. Heparticipated in 67 R&D projects, is/was principal investigator/researcher in 40 competi-tive R&D projects, mostly funded by the European Union. He is/was Associate Editor of the IEEE Transactions on Circuitsand Systems, IEEE Transactions on Neural Networks, IEEE Transactions on Image processing, IJIG Journal, IEICE, CircuitsSystems and Signal Processing (CSSP), co-editor of Multidimensional Systems and Signal Processing, member of the edito-rial board of 6 journals and guest editor in 8 special journal issues. He was chair of the 1995 IEEE Workshop on NonlinearSignal and Image Processing (NSIP95). He was technical chair of the 1998 European Signal Processing Conference. He wasthe general chair of IEEE ICIP2001. He was co-chair of the 2003 International workshop on Rich media content production.He was technical co-chair of the 2003 Greek Informatics conference (EPY). He was chair of the TC on Digital Signal Pro-cessing of the IEEE Circuits and Systems Society. He was vice-chair of the TC on image processing and multidimensionalsignal processing of the IEEE Signal Processing Society. He was member of the National Research Council of Greece. He hasreceived the 2009 best cited author award by Aristotle University of Thessaloniki (8500+ citations in 2009). The number ofcitations to his work by third authors is 15700+ (Publish or Perish), 5500+ (Scopus). His H-index is 62+, (source Publish orPerish), 37+ (Scopus), date: October 2012.

Keynote: Type-2 Fuzzy Control vs Type-1 Fuzzy Control: An Analytical PerspectiveEvent: IEEE CICA – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 15.30 –16.30 Thu. 18 April 2013

Speaker: Hao YingDr. Hao Ying is a Professor at the Department of Electrical and Computer Engineering, Wayne State University, Detroit,USA. As sole author, he published the book entitled Fuzzy Control and Modeling: Analytical Foundations and Applications(IEEE Press, 2000), and co-authors the book Type-2 Fuzzy Logic Control: Introduction to Theory and Applications (JohnWiley & Sons, Inc., 2013). In addition, he has published more than 90 peer-reviewed journal papers and over 140 conferencepapers. He is a Fellow of IEEE.

Keynote: Big Data and Clinical Decision Support SystemsEvent: IEEE CICARE – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 9.30 – 10.30, Tue. 16 April 2013

Speaker: Henrique MartinsProf. Martins is an Internal Medicine Specialist. He obtained his PhD degree from the Judge Business School, Universityof Cambridge with a thesis on “The use of Mobile ICT in clinical Settings”. He holds a Master in Management from theUniversity of Cambridge and a Masters in HIV/AIDS from the University of Barcelona. He has several publications in thearea of Mobile computing in healthcare.

He works as CMIO - Chief Medical Information Officer at the Hospital Fernando Fonseca, and coordinates the Centerfor Investigation and Creativity in Informatics (www.ci2.pt), where he supervises projects in robotics, mobile computingand database exploration and intelligent systems. He additionally currently works at the Ministry of Health as Adjunct forHealth IT to the Health Secretary of State and is responsible for the new Health Information Sharing Platform for ElectronicHealth Records and for nationwide efforts on complete electronic prescription and Clinical informatics. He teaches healthmanagement, leadership and medical informatics in Portugal and abroad.

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Keynote: Computational Intelligence in (e)Healthcare: Challenges and OpportunitiesEvent: IEEE CICARE – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 9.30 – 10.30, Wed. 17 April 2013

Speaker: Amir HussainProfessor Hussain obtained his BEng (with the highest 1st Class Honours) and PhD (with a resulting international patent onnovel neural network architectures and algorithms) from the University of Strathclyde in Glasgow, in 1992 and 1997 respec-tively. Following a post-doctoral Research Fellowship at the University of Paisley (1996-98) and a research Lectureship at theUniversity of Dundee in Scotland (1998-2000), he joined the University of Stirling in 2000, where he is currently Professor ofComputing Science and founding Director of the Cognitive Signal-Image and Control Processing Research (COSIPRA) Lab-oratory. He has (co)authored/edited more than a dozen Books and over 200 papers to-date in leading international journalsand refereed Conference proceedings. Since 2003, he has generated over euro 2m in research income (as principal investi-gator), including from UK research councils, EU FP6/7, international charities and industry. He is founding Editor-in-Chiefof both Springer’s Cognitive Computation journal and SpringerBriefs in Cognitive Computation, Associate Editor for theIEEE Transactions on Neural Networks & Learning Systems and serves on the Editorial Board of a number of other journals.He has served as invited speaker, general/program (co)chair and organizing/programme committee member for over 50leading international conferences to-date. He is founding General co-Chair of the annual International Conference on BrainInspired Cognitive Systems (BICS’2004-2013) and the IEEE ICEIS’2006. He is Chair of the IEEE UK & Republic of Ireland(RI) Industry Applications Society Chapter and Fellow of the UK Higher Education Academy.

Keynote: Artifacts and Indicators Analysis in Cyber SecurityEvent: IEEE CICS – 2013 Venue: Lyrebird, Level 3Date/Time: 13.30 – 14.30, Thu. 18 April 2013

Speaker: Ratan K. GuhaRatan K. Guha is a professor in the Department of Electrical Engineering and Computer Science at the University of Cen-tral Florida. He received his B.Sc. degree with honors in Mathematics and M.Sc. degree in Applied Mathematics from theUniversity of Calcutta and received his Ph.D. degree in Computer Science from the University of Texas at Austin. He hasauthored over 150 papers published in various computer journals, book chapters and conference proceedings. His workhas been supported by grants from ARO, NSF, STRICOM, PM-TRADE, NASA, and the State of Florida. He has served as amember of the program committee of several conferences, as the general chair of CSMA’98 and CSMA’2000 and as the guestco-editor of a special issue of the “Journal of Simulation Practice and Theory” and “Journal of Computers”. He is currentlyserving in the editorial board of Modelling and Simulation in Engineering published by Hindawi Publishing Corporation.He actively conducts research in computer networks and security and introduced a required computer security course forall undergraduate CS and IT students at the University of Central Florida. He is a member of ACM, ASEE, Life member ofIEEE and served as a member of the Board of Directors of SCS from 2004 to 2006.

Keynote: Learning with kernels for streams of structured dataEvent: IEEE CIDM – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 9.30 – 10.30, Tue. 16 April 2013

Speaker: Alessandro SperdutiAlessandro Sperduti received his education from the University of Pisa, Italy. (Laurea and Doctoral degrees in 1988 and1993, respectively, all in Computer Science.) In 1993 he spent a period at the International Computer Science Institute, Berke-ley, supported by a postdoctoral fellowship. In 1994 he moved back to the Computer Science Department, University ofPisa, where he was an Assistant Professor, and Associate Professor. Currently, he is a Full Professor at the Department ofMathematics, University of Padova. His research interests include machine learning, neural networks, learning in structureddomains, hybrid systems, data and process mining. In the field of hybrid systems his work has focused on the integration ofsymbolic and connectionist systems. He contributed to the organization of several workshops on this subject and he servedalso in the program committee of several conferences on Neural Networks, Machine Learning, Artificial Intelligence, andInformation Retrieval. Alessandro Sperduti is the author of more than 150 refereed papers mainly in the areas of NeuralNetworks, Pattern Recognition and Kernel Methods. Moreover, he gave several tutorials within international schools andconferences, such as IJCAI 97, IJCAI 99, IJCAI 01, WCCI 12. He has been plenary speaker at ICANN 2001, WSOM 2007, ISNN2012. He acted as a Guest Co-Editor of journal special issues on Connectionist Models for Learning in Structured Domains.He has been chair of the Data Mining and Neural Networks Technical Committees of IEEE CIS, and Associate Editor ofIEEE TNNLS. Currently he is in the editorial board of journals such as AI Communications, Theoretical Computer Science(section on Natural Computing), IEEE Intelligent Systems Magazine. He is an IEEE senior member.

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Keynote: Advances in Evolutionary Learning and OptimizationEvent: IEEE CIDM – 2013 Venue: Lyrebird, Level 3Date/Time: 13.30 – 14.30, Wed. 17 April 2013

Speaker: K. C. TanKay Chen TAN is currently an Associate Professor in the Department of Electrical and Computer Engineering, NationalUniversity of Singapore. He is actively pursuing research in computational and artificial intelligence, with applications tomulti-objective optimization, scheduling, automation, data mining, and games.

Dr. Tan has published over 100 journal papers, over 100 papers in conference proceedings, co-authored 5 books includingMultiobjective Evolutionary Algorithms and Applications (Springer-Verlag, 2005), Modern Industrial Automation SoftwareDesign (John Wiley, 2006; Chinese Edition, 2008), Evolutionary Robotics: From Algorithms to Implementations (World Sci-entific, 2006; Review), Neural Networks: Computational Models and Applications (Springer-Verlag, 2007), and Evolution-ary Multi-objective Optimization in Uncertain Environments: Issues and Algorithms (Springer-Verlag, 2009), co-edited 4books including Recent Advances in Simulated Evolution and Learning (World Scientific, 2004), Evolutionary Scheduling(Springer-Verlag, 2007), MultiobjectiveMemetic Algorithms (Springer-Verlag, 2009), and Design and Control of IntelligentRobotic Systems (Springer-Verlag, 2009).

Dr. Tan has been invited to be an invited keynote/pleanary speaker for 25 international conferences. He served in theinternational program committee for over 100 conferences and involved in the organizing committee for over 30 interna-tional conferences, including the General Co-Chair for IEEE Congress on Evolutionary Computation 2007 in Singapore andthe General Co-Chair for IEEE Symposium on Computational Intelligence in Scheduling 2009 in Tennessee, USA. Dr. Tan isan IEEE Distinguished Lecturer of IEEE Computational Intelligence Society since 2011.

Dr Tan is currently the Editor-in-Chief of IEEE Computational Intelligence Magazine (CIM). He also serves as an AssociateEditor Editorial Board member of over 15 international journals, such as IEEE Transactions on Evolutionary Computation,IEEE Transactions on Systems, Man and Cybernetics: Part B Cybernetics, IEEE Transactions on Computational Intelligenceand AI in Games, Evolutionary Computation (MIT Press), European Journal of Operational Research, Journal of Scheduling,and International Journal of Systems Science.

Dr. Tan is the awardee of the 2012 IEEE Computational Intelligence Society (CIS) Outstanding Early Career Award forhis contributions to evolutionary computation in multi-objective optimization. He also received the Recognition Award(2008) from the International Network for Engineering Education & Research (iNEER) for his outstanding contributions toengineering education and research. He was also a winner of the NUS Outstanding Educator Awards (2004), the EngineeringEducator Awards (2002, 2003, 2005), the Annual Teaching Excellence Awards (2002, 2003, 2004, 2005, 2006), and the HonourRoll Awards (2007). Dr. Tan was a Fellow of the NUS Teaching Academic (2009-2012).

Keynote: Evolutionary optimization in dynamic and uncertain environmentsEvent: IEEE CIDUE – 2013 Venue: Lyrebird, Level 3Date/Time: 8.30 – 9.30, Wed. 17 April 2013

Speaker: Yaochu JinYaochu Jin (M’98 – SM’02) received the B.Sc., M.Sc., and Ph.D. degrees from Zhejiang University, Hangzhou, China, in 1988,1991, and 1996 respectively, and the Dr. Ing. degree from Ruhr-University Bochum, Bochum, Germany, in 2001.

He is currently a Professor and the Chair in Computational Intelligence with the Department of Computing, Universityof Surrey, Guildford, U.K., where he heads the Nature Inspired Computing and Engineering Group. Before joining Surrey,he was a Principal Scientist and Group Leader with the Honda Research Institute Europe, Offenbach am Main, Germany.His main research interests include computational intelligence, computational neuroscience and computational systemsbiology, with applications to complex engineering optimization, bioengineering, swarm robotics, and autonomous systems.He has (co)edited five books and three conference proceedings, authored a monograph, and (co)authored over 150 peer-reviewed journal and conference papers. He has been granted eight US, EU and Japan patents. His current research isfunded by EU FP7, UK EPSRC and industries, including Intellas UK, Santander, Aero Optimal, Bosch UK and Honda.He has delivered over ten invited keynote speeches on morphogenetic robotics; developmental neural systems; modeling,analysis, and synthesis of gene regulatory networks; evolutionary optimization; and multi-objective learning at internationalconferences.

Dr. Jin is an Associate Editor of BioSystems, the International Journal of Fuzzy Systems andSoftComputing, the IEEETransactions on Neural Networks and Learning Systems, IEEE Transactions on Systems, Man, and Cybernetics, Part B:Cybernetics, IEEE Transactions on Nanobioscience, and IEEE Computational Intelligence Magazine. He is a DistinguishedLecturer (2013-2015) and an elected AdCom Member (2012-2014) of the IEEE Computational Intelligence Society. He wasthe recipient of the Best Paper Award of the 2010 IEEE Symposium on Computational Intelligence in Bioinformatics andComputational Biology.

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Keynote: Ensemble Approaches in LearningEvent: IEEE CIEL – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 9.30 – 10.30, Thu. 18 April 2013

Speaker: Xin YaoFor biography, please refer page no – 9

Keynote: Computational Intelligence in Structural Analysis and DesignEvent: IEEE CIES – 2013 Venue: Lyrebird, Level 3Date/Time: 14.30 – 15.30, Thu. 18 April 2013

Speaker: Michael BeerMichael Beer is Professor of Uncertainty in Engineering and Director of the Institute for Risk & Uncertainty in the Univer-sity of Liverpool. He graduated with a doctoral degree in Civil Engineering from the TechnischeUniversität Dresden, Ger-many. As a Feodor-Lynen Fellow of the Alexander von Humboldt-Foundation Dr. Beer pursued research at Rice Universitytogether with Professor Pol D. Spanos. From 2007 to 2011 he worked as an Assistant Professor in the Department of Civil& Environmental Engineering, National University of Singapore. His research is focused on non-traditional uncertaintymodels in engineering with emphasis on reliability analysis and on robust design. Dr. Beer is a member of ASME, Char-ter Member of the ASCE Engineering Mechanics Institute, Member of the European Association for Structural Dynamics,Member of the European Safety and Reliability Association, Member of IACM, Associate Editor of the International Jour-nal of Reliability and Safety, as well as Member of the Editorial Boards of Probabilistic Engineering Mechanics, Computers& Structures, Structural Safety, International Journal of Computational Methods, and International Journal of Engineeringunder Uncertainty: Hazards, Assessment, and Mitigation.

Keynote: Fuzzy Applications in Ground Vehicle Engineering: Focus on IdentificationEvent: IEEE CIES – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 13.30 – 14.30, Fri. 19 April 2013

Speaker: ValentinIvanovValentinIvanov (MechEng PhD DSc) is working as research professor and project officer at Ilmenau University of Technologyin Germany. He has longstanding experience in the organisation and implementation of research activities including gov-ernmental, industrial and educational projects on the European and international level. ValentinIvanov is an active memberof the SAE International (the Engineering Society for Advancing Mobility Land Sea Air and Space), JSAE (Society of Auto-motive Engineers of Japan), IFAC (International Federation of Automatic Control), and ISTVS (The International Societyof Terrain-Vehicle Systems). ValentinIvanov is Alexander von Humboldt Fellow (2007), Marie Curie Fellow (2008), and hewas awarded the Ralph R. Teetor Educational Award (2006, USA) and Intelligent Optimal Design Prize (2010, Singapore).He held key research positions in several projects for electric drivelines, active safety systems for conventional and elec-tric vehicles, and intelligent systems for tire dynamics control. ValentinIvanov is the author and co-author of more than80 research papers and 12 patent documents. His research interests include automotive control systems, fuzzy computing,vehicle dynamics, and hardware-in-the-loop simulation methods.

Tutorial: Validating Simulation ModelsEvent: IEEE CIFEr – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 8.30 – 9.30 and 9.30 – 10.30, Fri 19 April 2013

Speaker: Robert MarksDr. Robert Marks is an Emeritus Professor of Economics at the University of New South Wales, and a Professorial Fellowat the University of Melbourne. He was a foundation faculty member at the Australian Graduate School of Management.He published the first application of the Genetic Algorithm in game theory, and was for 13 years the Editor-in-Chief of theAustralian Journal of Management. He has published over 171 papers and reports, including pioneering papers on computermodeling and validation in the social sciences.

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Tutorial: Simulation Models on Systemic RisksEvent: IEEE CIFEr – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 13.30 – 14.30 and 14.30 – 15.30, Fri 19 April 2013

Speaker: Akira NamatameDr. Akira Namatame (www.nda.ac.jp/∼nama) is Professor of Computer Science Department at National Defense Academyof Japan. He is well-known as an international research leader in the field of multi-agent modeling and socio-economiccomplexity. In the past ten years he has given over 30 invited talks, and over 10 tutorial lectures. He has also been a leadingfigure in the community of researchers working on socio-economic complexity, for instance as programme leader in manyinternational conferences in the fields. His research interests include multi-agent systems, complex networks, evolutionarycomputation, and game theory. He is the editor-in-chief of Springer’s Journal of Economic Interaction and Coordination. Hehas published more than 250 refereed scientific papers, together with eight books on multi-agent systems, collective systemsand game theory.

Keynote: Human Experiments in Computational IntelligenceEvent: IEEE CIHLI – 2013 Venue: Lyrebird, Level 3Date/Time: 10.30 – 11.30, Wed. 17 April 2013

Speaker: Hussein AbbassProf. Dr. Hussein Abbass is a Professor of InformationTechnology at the University of New South Wales, Canberra Cam-pus,Australia. He is a Fellow of the Operational Research Society (UK), afellow of the Australian Computer Society, anda Senior Member of theIEEE.Prof Abbass is an Associate Editor of the IEEE Transactions onEvolutionary Computation,the IEEE Computational Intelligence Magazine,the American Institute of Mathematical Sciences Journal of Industrial and-Management Optimization, and three other journals. Prof Abbass’s workintegrates cognitive science, operations researchand artificialintelligence. He was the General Chair of the 2012 IEEE World Congress onComputational Intelligence held inBrisbane June 2012, which is thePremier and Largest event by the IEEE Computational Intelligence Society.

Keynote: A Human-Inspired Memetic Computational Search ParadigmEvent: IEEE CIHLI – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 16.30 – 17.30, Thu. 18 April 2013

Speaker: Yew-Soon OngYew-Soon Ong is currently an Associate Professor and Director of the Center for Computational Intelligence at the Schoolof Computer Engineering, Nanyang Technological University, Singapore. He received a PhD degree on Artificial Intelli-gence in complex design from the Computational Engineering and Design Center, University of Southampton, UK in 2003.His current research interest in computational intelligence spans across memetic computing, evolutionary design, machinelearning, agent-based systems and cloud computing. He is the founding Technical Editor-in-Chief of Memetic ComputingJournal, Chief Editor of the Springer book series on studies in adaptation, learning, and optimization, Associate Editor ofIEEE Computational Intelligence Magazine, the IEEE Transactions on Systems, Man and Cybernetics - Part B, InformationSciences, Soft Computing, International Journal of System Sciences and others. He has coauthored over 120 refereed publi-cations and his research grants in the last five years amounts to a total of more than 5 million Singapore dollars. These com-prises of research funding from both national and international partners that includes the Singapore National Grid Office,A*STAR, Singapore Technologies Dynamics, Boeing Research & Development (USA), Rolls-Royce Singapore and HondaResearch Institute Europe (Germany), National Research Foundation and Media Development Authority- Singapore-MITGAMBIT Lab. Presently, he also Chaired the IEEE Computational Intelligence Society Emergent Technology Technical Com-mittee from 2011-2012 and has served as Guest Editors of several journals including the IEEE Transactions on EvolutionaryComputation. Presently, he Chairs the IEEE Computational Intelligence Society Intelligent Systems Technical Committee.His research work on Memetic Algorithm was featured by Thomson Scientific’s Essential Science Indicators as one of themost cited emerging area of research in August 2007. Recently, he also received the 2012 IEEE Transactions on EvolutionaryComputation Outstanding Paper Award for his work pertaining to the modeling of Probabilistic Memetic Framework. Inteaching, he has also received numerous awards including the Nanyang Excellence Award for Teaching in 2008, Most Popu-lar Lecturer Award 2009, and recently invited as Fellow of Renaissance Engineering Programme at Nanyang TechnologicalUniversity.

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Keynote: Machine Learning for Neural Engineering ApplicationsEvent: IEEE CIMSIVP – 2013 Venue: Lyrebird, Level 3Date/Time: 10.30 – 11.30, Thu. 18 April 2013

Speaker: Justin DauwelsJustin Dauwels is an Assistant Professor with School of Electrical & Electronic Engineering at Nanyang Technological Uni-versity (NTU).

His research interests are in Bayesian statistics, iterative signal processing, and computational neuroscience. He enjoysworking on real-world problems, often in collaboration with medical practitioners. He also tries to bring real-world problemsinto the classroom. Research from his team is featured at the Singapore Science Center and in the Straits Times.

Prior to joining NTU, Justin was a research scientist during 2008-2010 in the Stochastic Systems Group (SSG) at theMassachusetts Institute of Technology (MIT), led by Prof. Alan Willsky. He received postdoctoral training during 2006-2007under the guidance of Prof. Shun-ichiAmari and Prof. AndrzejCichocki at the RIKEN Brain Science Institute in Wako-shi,Japan. He obtained a PhD degree in electrical engineering at the Swiss Polytechnical Institute of Technology (ETH) in Zurichin December 2005, supervised by Prof. Hans-Andrea Loeliger, and was a teaching and research assistant at the Signal andInformation Processing Laboratory (ISI) of the Department of Information Technology and Electrical Engineering at ETHZurich from 2000 to 2005. In 2000 he received the engineering physics degree from the University of Ghent. He has been aJSPS postdoctoral fellow (2007), a BAEF fellow (2008), a Henri-Benedictus Fellow of the King Baudouin Foundation (2008),and a JSPS invited fellow (2010). He has received several best paper awards at conferences.

Keynote: Intelligent Systems for Flight ControlEvent: IEEE CISDA – 2013 Venue: Lyrebird, Level 3Date/Time: 11.30 – 12.30, Wed. 17 April 2013

Speaker: NarasimhanSundararajanNarasimhan Sundararajan received the B.E in Electrical Engineering with First Class Honors from the AlagappaChettiarCollege of Engg. &Tech., Karaikudi, University of Madras in 1966, M.Tech from the Indian Institute of Technology, Madrasin 1968 and Ph.D. In Electrical Engineering from the University of Illinois, Urbana-Champaign in 1971.

From 1972 to 1991, he was working in the Indian Space Research Organization, Trivandrum, India starting as a ControlSystem Designer to Director, Launch Vehicle Design Group contributing to the design and development of the Indian satel-lite launch vehicles SLV3, ASLV, PSLV and GSLV. He worked as the Project Engineer (Mission) for the first Indian SatelliteLaunch Vehicle project SLV3 team working directly under Dr. Kalam. He was also a NRC Research Associate at NASA -Ames in 1974 and a Senior NRC Research Associate at NASA Langley in 1981-86 under the National Academy of Sciences,USA program. From February 1991, he was working in the School of Electrical and Electronic Engineering, Nanyang Tech-nological University, Singapore, as a Professor and has retired from that position in July 2010. Currently, he is an emeritusprofessor visiting Indian Institute of Space Science and Technology, Trivandrum, India. He was a Prof. I.G.Sarma Memo-rial ARDB Professor (an endowed visiting professor) during Nov.2002 - Feb 2003, at the School of Computer Science andAutomation, Indian Institute of Science, Bangalore, India.

His research interests are in the areas of aerospace control, machine learning, neural networks and applications andcomputational intelligence and have more than 250 papers and also five books in the area of neural networks.

Dr. Sundararajan is a Fellow of IEEE, an Associate Fellow of AIAA and also a Fellow of the Institution of Engineers, (IES)Singapore.

He was an Associate Editor for IEEE Trans. on Control Systems Technology, IFAC Journal on Control Engineering Practice(CEP), IEEE Robotics and Automation Magazine and for Control -Theory and Advanced Technology (C-TAT), Japan. He wasalso a member of the Board of Governors (BoG) for the IEEE Control System Society (CSS) for 2005. He has contributed asa program committee member in a number of international conferences and was the General Chairman for the Sixth Intl.Conf. On Automation, Robotics, Control and Computer Vision - ICARCV2000 held in Singapore on Dec. 2000.

Keynote: Autonomy and the Future of Urban MobilityEvent: IEEE CIVTS – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 9.30 – 10.30, Wed. 17 April 2013

Speaker: Emilio FrazzoliEmilio Frazzoli is currently a Singapore Research Professor and Associate Professor of Aeronautics and Astronautics withthe Laboratory for Information and Decision Systems at the Massachusetts Institute of Technology, and is the Lead PrincipalInvestigator of the Future Urban Mobility project with the Singapore-MIT Alliance for Research and Technology. He receiveda Laurea degree inAerospace Engineering from the University of Rome, “Sapienza”, Italy, in 1994, and a Ph. D. degree inNavigation and Control Systems from the Department of Aeronautics and Astronautics of the Massachusetts Institute ofTechnology, in 2001. Between 1994 and 1997 he worked as an officer in the Italian Navy, and as a spacecraft dynamics

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specialist for the European Space Agency Operations Centre (ESOC) in Darmstadt, Germany, and Telespazio, in Rome,Italy. From 2001 to 2004 he was an Assistant Professor of Aerospace Engineering at the University of Illinois at Urbana-Champaign. From 2004 to 2006 he was an Assistant Professor of Mechanical and Aerospace Engineering at the University ofCalifornia, Los Angeles. He was the recipient of a NSF CAREER award in 2002. He is an Associate Fellow of the AmericanInstitute of Aeronautics and Astronautics and a Senior Member of the Institute for Electrical and Electronics Engineers. He iscurrently serving as an Associate Editor for the IEEE Transactions on Automatic Control, for the AIAA Journal of Guidance,Control, and Dynamics, and for the Journal of Optimization Theory and Applications. Dr. Frazzoli’s main research interestslie in the area of planning and control for autonomous vehicles, mobile robots, and transportation networks.

Keynote: Evolving fuzzy systems: A Granular Computing Design FrameworkEvent: IEEE EAIS – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 13.30 – 14.30, Thu. 18 April 2013

Speaker: WitoldPedryczWitold Pedrycz is Professor and Canada Research Chair (CRC - Computational Intelligence) in the Department of Electricaland Computer Engineering, University of Alberta, Edmonton, Canada. He is also with the Systems Research Institute ofthe Polish Academy of Sciences, Warsaw, Poland. He also holds an appointment of special professorship in the School ofComputer Science, University of Nottingham, UK. In 2009 Dr. Pedrycz was elected a foreign member of the Polish Academyof Sciences. In 2012 he was elected a Fellow of the Royal Society of Canada. WitoldPedrycz has been a member of numerousprogram committees of IEEE conferences in the area of fuzzy sets and neurocomputing. In 2007 he received a prestigiousNorbert Wiener award from the IEEE Systems, Man, and Cybernetics Council and in 2013 a Killam Prize. He is a recipientof the IEEE Canada Computer Engineering Medal 2008. In 2009 he has received a Cajastur Prize for Soft Computing fromthe European Centre for Soft Computing for “pioneering and multifaceted contributions to Granular Computing”.

His main research directions involve Computational Intelligence, fuzzy modeling and Granular Computing, knowledgediscovery and data mining, fuzzy control, pattern recognition, knowledge-based neural networks, relational computing,and Software Engineering. He has published numerous papers in this area. He is also an author of 15 research monographscovering various aspects of Computational Intelligence and Software Engineering.

Dr. Pedrycz is intensively involved in editorial activities. He is an Editor-in-Chief of Information Sciences and Editor-in-Chief of IEEE Transactions on Systems, Man, and Cybernetics - Systems. He currently serves as an Associate Editor of IEEETransactions on Fuzzy Systems and is a member of a number of editorial boards of other international journals.

Keynote: Sentic ComputingEvent: IEEE IA – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 10.30 – 11.30, Fri 19 April 2013

Speaker: Erik CambriaERIK CAMBRIA ([email protected]) received his BEng and MEng with honours in Electronic Engineering from theUniversity of Genova, in 2005 and 2008 respectively. In 2011, he has been awarded a PhD in Computing Science and Mathe-matics, following the completion of an industrial Cooperative Awards in Science and Engineering (CASE) research project,funded by the UK Engineering and Physical Sciences Research Council (EPSRC), which was born from the collaborationbetween the University of Stirling and the MIT Media Laboratory. Today, Erik is the lead investigator of Singapore MINDEF-funded project on Commonsense Knowledge Representation & Reasoning at Temasek Laboratories (National University ofSingapore) and an associate researcher at the MIT Media Laboratory (Synthetic Intelligence Project). His interests includeAI, Semantic Web, KR, NLP, opinion mining and sentiment analysis, affective and cognitive modelling, intention aware-ness, HCI, and e-health. Erik is also chair of several international conferences, e.g., Brain Inspired Cognitive Systems (BICS),symposia, e.g., Extreme Learning Machines (ELM), and workshop series, e.g., ICDM SENTIRE, KDD WISDOM, and WWWMABSDA. He is editorial board of Springer Cognitive Computation, guest editor of IEEE Intelligent Systems, and reviewerof other leading AI journals. He is a fellow of the Brain Sciences Foundation, the National Laboratory of Pattern Recognition(NLPR – Institute of Automation, Chinese Academy of Sciences), the National Taiwan University, Microsoft Research Asia,and HP Labs India.

Keynote: Artificial Evolution: from Digital to PhysicalEvent: IEEE ICES – 2013 Venue: Lyrebird, Level 3Date/Time: 8.30 – 9.30, Tue. 16 April 2013

Speaker: AE (Gusz) EibenMy academic research lies within computational intelligence or natural computing with evolutionary computing as the bindingfactor, see the thematic overview on the right hand side of this page. I was/am involved in various European research

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projects: EvoNet I (Esprit 20996), EvoNet II (FP5, IST-1999-14087), DREAM (FP5, IST-1999-12679), NEW TIES (FP6-502386),SYMBRION (FP7-ICT-2007.8.2), EVOBODY (FP7-258334),OPTI-FOX (FP7-123456), AWARE (FP7-123456)

Further to academic research, I have worked in business intelligence R&D projects, including data warehousing and datamining for feature selection, creditibility assessment, direct marketing, customer retention analysis, sensory data analysis,e-business, etc. Much of this work is unpublished.

Keynote: Multigame Playing - a Challenge for Computational IntelligenceEvent: IEEE MC – 2013 Venue: Lyrebird, Level 3Date/Time: 13.30 – 14.30, Tue. 16 April 2013

Speaker: Jacek MandziukJacek Mandziuk, Ph.D., D.Sc., is an Associate Professor at the Warsaw University of Technology. He gained an M.Sc. (Hon-ors) and Ph.D. in Applied Mathematics from the Warsaw University of Technology, Poland in 1989 and 1993 respectively.,and a D.Sc. degree in Computer Science from the Polish Academy of Sciences in 2000. In 2011 he was awarded the titleof Full Professor (Professor Titular) by the President of the Republic of Poland. His research interests include the applica-tion of Computational Intelligence methods to game playing, bioinformatics, financial modeling, time series prediction anddevelopment of constructive learning methods for artificial agents.

He is the author of two books (including Knowledge-free and Learning-based Methods in Intelligent Game Playing,Springer 2010), and co-author of one textbook and over 80 refereed papers. He has served as a Program Committee Memberat over 60 international conferences, was a Program Co-Chair of the International Workshop on Adaptive Systems in SoftComputing and Life Sciences, USA, in 2002 and a panelist on the Computational Intelligence and Games panel at the IEEEWorld Congress on Computational Intelligence (WCCI’08) in Hong Kong. He acts as a reviewer for several science journalsdedicated to Computational and Artificial Intelligence. He is an Associate Editor of the IEEE Transactions on ComputationalIntelligence and AI in Games, an Editorial Board Member for the International Journal On Advances in Intelligent Systems,a member of IEEE (M’05, SM’10) and a member of the Games Technical Committee of the IEEE Computational IntelligenceSociety (CIS). He has been a founding chair of the IEEE CIG Task Force on Neural Networks for Games (since 2008) and afounding chair of the IEEE CIS Emergent Technology Technical Committee Task Force on Towards Human-like Intelligence(since 2011). He is a member of the Lifeboat Foundation Robotics/AI Advisory Board.

He has received a First Degree Award for Excellence in Research (6 times) and a Second Degree Award for Excellence inResearch (4 times) from the Warsaw University of Technology. He was a recipient of the Senior Fulbright Research Awardand has visited the University of California at Berkeley and the International Computer Science Institute in Berkeley (USA).Recently he has been a visiting professor at Yonsei University (South Korea), Nanyang Technological University (Singapore)and the University of Alberta (Canada).

Keynote: MOEAs: Applications in Bioinformatics and Data MiningEvent: IEEE MCDM – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 8.30 – 9.30, Tue. 16 April 2013

Speaker: Sanghamitra BandyopadhyayDr. Sanghamitra Bandyopadhyay did her Ph. D. in Computer Science from Indian Statistical Institute where she is cur-rently a Professor. Her research interests include computational biology and bioinformatics, evolutionary computation, pat-tern recognition and data mining. In these areas, Prof. Bandyopadhyay has published six books and authored more than230 technical articles. She has worked in various Institutes and Universities in USA, Australia, Germany, China and Italy,besides having delivered invited lectures in many more. Prof. Bandyopadhyay is a Fellow of the National Academy of Sci-ences, India and Indian National Academy of Engineering (INAE), and a recipient of several awards including the ShantiSwarupBhatnagar Prize in Engineering Science, Swarnajayanti fellowship from the Department of Science and Technology,Humboldt Fellowship, INAE Silver Jubilee Award, National Woman Bioscientist Award, India, the Young Scientist Awardsof the Indian National Science Academy and the Indian Science Congress Association, Young Engineer Award of the IndianNational Academy of Engineers, Dr. ShankerDayal Sharma Gold Medal and the Institute Silver Medal from IIT, Kharagpur.

Keynote: Active Space-Body Perception and Body Enhancement using Dynamical Neural SystemsEvent: IEEE RiiSS – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 15.30 – 16.30, Fri. 19 April 2013

Speaker: Tetsuya OgataTetsuya Ogata received the BS, MS and DE degrees in Mechanical Engineering, in 1993, 1995 and 2000, respectively, fromWaseda University. From 1999 to 2001, he was a Research Associate in Waseda University. From 2001 to 2003, he was a

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Research Scientist in the Brain Science Institute, RIKEN. From 2003 to 2012, he was an Associate Professor in the Gradu-ate School of Informatics, Kyoto University. Since 2012, he has been a Professor of the Faculty of Science and Engineering,Waseda University. Since 2009, he has been a JST (Japan Science and Technology Agency) PRESTO Researcher (5 years). Hisresearch interests include human-robot interaction, dynamics of human-robot mutual adaptation and inter-sensory transla-tion in robot systems.

Keynote: Understanding Differential EvolutionEvent: IEEE SDE – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 8.30 – 9.30, Fri. 19 April 2013

Speaker: Ferrante NeriFerrante Neri received the Masters and Ph.D. degrees in electrical engineering from the Technical University of Bari, Italy, in2002 and 2007, respectively, and the Ph.D. degree in computer science from the University of Jyväskylä, Finland, in 2007. In2009, Dr. Neri has been appointed Academy Research Fellow with the Academy of Finland. Since 2010 he is Adjunct Profes-sor in Computational Intelligence at the University of Jyväskylä. Currently he is a Reader in Computational Intelligence atthe De Montfort University, UK. Dr. Neri is vice-chair of the IEEE Task Force on Differential Evolution and chair of the IEEETask Force on Memetic Computing. His current research interests include memetic computing, differential evolution, noisyand large scale optimisation, and compact and parallel algorithms.

Keynote: The Third Decade of Swarm Intelligence: Looking beyond the Particle Swarms and AntsEvent: IEEE SIS – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 14.30 – 15.30, Tue. 16 April 2013

Speaker: Swagatam DasSwagatam Das is serving as an assistant professor at the Electronics and Communication Sciences Unit of Indian StatisticalInstitute, Kolkata. His research interests include swarm intelligence and evolutionary computing, pattern recognition, multi-agent systems, and wireless communication. Dr. Das has published one research monograph, one edited volume, and morethan 150 research articles in peer-reviewed journals and international conferences. He is the founding co-editor-in-chief of“Swarm and Evolutionary Computation”, an international journal from Elsevier. He serves as associate editors of the IEEETrans. on Systems, Man, and Cybernetics: Systems and Information Sciences (Elsevier). He is an editorial board memberof Progress in Artificial Intelligence (Springer), Mathematical Problems in Engineering, International Journal of ArtificialIntelligence and Soft Computing, and International Journal of Adaptive and Autonomous Communication Systems. Hehas acted as guest editors for special issues in journals like IEEE Transactions on Evolutionary Computation and IEEETransactions on SMC, Part C. Dr. Das has been acting as a regular reviewer for journals like Pattern Recognition, IEEETransactions on Evolutionary Computation, IEEE/ACM Transactions on Computational Biology and Bioinformatics, IEEETransactions on SMC Part A, Part B, and Part C. He has been associated with the international program committees andorganizing committees of several regular international conferences including IEEE CEC, IEEE SSCI, SEAL, GECCO, andSEMCCO. He is a senior member of IEEE and the recipient of the 2012 Young Engineer award from the Indian NationalAcademy of Engineering (INAE).

Keynote: Learning from Real Ants: Building Robust Ant Algorithms that always find the Shortest PathEvent: IEEE SIS – 2013 Venue: Lyrebird, Level 3Date/Time: 11.30 – 12.30, Thu. 18 April 2013

Speaker: JayadevaProf. Jayadeva obtained his B.Tech and Ph.D degrees from the Department of Electrical Engineering, IIT Delhi in 1988 and1993. He is currently a Professor in the same department. He has been a speaker on the IEEE Computer Society DistinguishedVisitor Programme, and is a recipient of the Young Engineer Award from the Indian National Academy of Engineering, theYoung Scientist Award from the Indian National Science Academy, and the BOYSCAST Fellowship from the Departmentof Science and Technology, Govt. of India. He was a URSI Young Scientist at the General Assembly in Lille, France (1996),and received the Sir J.C. Bose Young Scientist title from the Indian Council of the URSI. He visited the Department ofBrain and Cognitive Sciences, Massachusetts Institute of Technology in 1997 as a BOYSCAST fellow. He spent a sabbaticalyear as a visiting Researcher at IBM India Research Laboratory, from July 2006. One of his papers in Neurocomputingwas listed on the Top25 hotlist; he is a recipient of best paper awards from the IETE Journal of Research, and three otherconference papers. He holds a US Patent on A/D conversion, another on assessing pronunciation abilities, and is the co-author of the book “Numerical Optimization and Applications”. He has served on the Steering and Program Committeesof several international conferences. He was a keynote speaker at the International Workshop on Mobile Technologies forPervasive Healthcare, Philip Island, Australia in 2007, was tutorial chair for PrEMI 2009, and delivered an invited talk

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at ICICS, Singapore, 2011. His research interests include Swarm Intelligence, Machine Learning, Optimization, and VLSI.Amongst his recent works that has received notable attention is the Twin Support Vector Machine.

Keynote: Comparing Partitions from Clustering AlgorithmsEvent: IEEE SSCI – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 10.30 – 11.30, Tue. 16 April 2013

Speaker: James M. KellerJames M. Keller received the Ph.D. in Mathematics in 1978. He holds the University of Missouri Curators’ Professorship inthe Electrical and Computer Engineering and Computer Science Departments on the Columbia campus. He is also the R. L.Tatum Professor in the College of Engineering. His research interests center on computational intelligence: fuzzy set theoryand fuzzy logic, neural networks, and evolutionary computation with a focus on problems in computer vision, pattern recog-nition, and information fusion including bioinformatics, spatial reasoning in robotics, geospatial intelligence, sensor andinformation analysis in technology for eldercare, and landmine detection. His industrial and government funding sourcesinclude the Electronics and Space Corporation, Union Electric, Geo-Centers, National Science Foundation, the Administra-tion on Aging, The National Institutes of Health, NASA/JSC, the Air Force Office of Scientific Research, the Army ResearchOffice, the Office of Naval Research, the National Geospatial Intelligence Agency, the Leonard Wood Institute, and the ArmyNight Vision and Electronic Sensors Directorate. Professor Keller has coauthored over 400 technical publications.

Jim is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and the International Fuzzy Systems Asso-ciation (IFSA), and a past President of the North American Fuzzy Information Processing Society (NAFIPS). He receivedthe 2007 Fuzzy Systems Pioneer Award and the 2010 Meritorious Service Award from the IEEE Computational IntelligenceSociety. He finished a full six year term as Editor-in-Chief of the IEEE Transactions on Fuzzy Systems, followed by beingthe Vice President for Publications of the IEEE Computational Intelligence Society from 2005-2008, and since then an electedCIS Adcom member. He is the IEEE TAB Transactions Chair and a member of the IEEE Publication Review and AdvisoryCommittee. Among many conference duties over the years, Jim was the general chair of the 1991 NAFIPS Workshop andthe 2003 IEEE International Conference on Fuzzy Systems.

Keynote: Active Brain-Machine-Body Interface for Natural CognitionEvent: IEEE SSCI – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 13.30 – 14.30, Tue. 16 April 2013

Speaker: Chin-Teng (CT) LinFor biography, please refer page no – 7

Keynote: Multiple Sensor Fault Detection and Isolation in Complex Distributed Dynamical SystemsEvent: IEEE SSCI – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 10.30 – 11.30, Wed. 17 April 2013

Speaker: Marios PolycarpouFor biography, please refer page no – 8

Keynote: Advances in Kernel MethodsEvent: IEEE SSCI – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 11.30 – 12.30, Wed. 17 April 2013

Speaker: Jose PrincipeFor biography, please refer page no – 8

Keynote: Power System Planning with Swarm IntelligenceEvent: IEEE SSCI – 2013 Venue: Lyrebird, Level 3Date/Time: 14.30 – 15.30, Wed. 17 April 2013

Speaker: Bijaya Ketan PanigrahiDr. B K Panigrahi is working as Associate Professor in the Department of Electrical Engineering, IIT Delhi since 2005. Prior

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to joining IIT Delhi, he was a faculty at University College of Engineering, Burla, Sambalpur, Odisha , India from 1992 to2005. Dr. Panigrahi is having a teaching and research experience of more than 20 years. He is a senior member of IEEE. Dr.Panigrahi is associated with the editorial activities of different International Journals like International Journal of Power andEnergy Conversion, International Journal of Bio-Inspired Computation, Neurocomputing, Journal of Optimization, Math-ematical Problems in Engineering etc. Dr. Panigrahi’s research interest is on the application of Computational Intelligencetechniques to Power System Planning, Operation and Control. He also works in the area of evolutionary computing and itsapplication to power system optimization.

Keynote: Forensic Bioinformatics: Decoding Information through Molecular AlphabetsEvent: IEEE SSCI – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 16.30 – 17.30, Wed. 17 April 2013

Speaker: Amit KumarDr. Amit Kumar is CEO and Chief Scientific Officer of BioAxis DNA Research Centre (BDRC) Pvt Ltd. He also serves as theSecretary of IEEE Hyderabad Section, Chairman of IEEE Computational Intelligence Society, IEEE Hyderabad Section. Heis member of the reputed Neural Networks Technical Committee (NNTC) of the Computational Intelligence Society (CIS)of the Institute of Electrical and Electronic Engineers, Inc. (IEEE). Dr. Amit Kumar is a member of IEEE, ISCB, APBIONET,ACM and PRIB. He obtained his PhD in Applied Bioinformatics in 2007. Dr. Kumar was nominated as “Pioneers in Genomiceducation 2010”. He has organized, chaired and delivered Invited talks in several National and International Conferenceslike IEEESSCI2013 Singapore,POCO 2012 Budapest, POCO 2011 Beijing, IEEEHyd COW 2012 Vishakapatnam, PRIB 2007Singapore, PRIB 2008 Australia, WCCI 2010 Barcelona Spain, DNA 2009 at Andhra Pradesh Police academy and DNA2010- Osmania University, DNA 2011-GSI Lucknow, DNA 2012 at AIMSCS Hyderabad Central University and several IEEEevents. He has published more than 20 Research Papers in peer reviewed national and International Journals. Under hisable guidance BioAxis DNA Research Centre successfully reached the nomination of Leaders of tomorrow 2010 awards byET Now and India Mart. IEEE Computational Intelligence Society of Hyderabad Section received the Outstanding Chapteraward under his chairmanship and He was the Secretary of IEEE Hyderabad Section in 2012 when the section received theOutstanding Large Section award. His Research Interests are Reverse Vaccinology, Forensic Bioinformatics, DNA Forensics,Rational drug discovery, Forensic Criminology and Police Administration etc. He is also a Post Graduate in Criminologyand Police Administration. Dr. Amit kumar has been invited Resource person at number of Reputed Academic and ResearchInstitutions, Police Academies and Police Training colleges. Apart from the vast Industrial experience presently 4 PhD stu-dents are working under his guidance and he has adjudicated several PhD Theses in Biotechnology and Bioinformatics.

Keynote: Interaction and Experience in Enactive Intelligence and Humanoid RoboticsEvent: IEEE SSCI – 2013 Venue: Lyrebird, Level 3Date/Time: 16.30 – 17.30, Wed. 17 April 2013

Speaker: Chrystopher NehanivProfessor Chrystopher L. Nehaniv is a Ukrainian-American mathematician and computer scientist. He received his BScwith honors from the University of Michigan, Ann Arbor in 1987, where he studied mathematics, biology, linguistics andcognitive science, and his PhD in Mathematics from the University of California at Berkeley in 1992. He has held academicandresearch positions in at Berkeley, Japan (professorship at University of Aizu, 1993-1998), and Hungary, and since 2001is Research Professor of Mathematical and Evolutionary Computer Science at the University of Hertfordshire in the U.K,where he plays leading roles in the Algorithms, BioComputation, and Adaptive Systems Research Groups. He is author ofover 200 publications and 30 edited volumes in computer science, mathematics, interactive systems, artificial intelligence,and systems biology, and is also coauthor of a monograph on algebraic theory of automata networks. Prof. Nehaniv is theChair of the IEEE Computational Intelligence Society Task Force on Artificial Life and Complex Adaptive Systems, andassociate editor of the journals Interaction Studies and BioSystems. He currently co-coordinates the EU FET UnconventionalComputing project BIOMICS which explores the Biological and Mathematical basis of Interaction Computing (2012-2015).Prof. Nehaniv has contributed as co-PI in, among many other UK and EU grants, the EU funded Cogniron, RobotCub(producing the iCub humanoid), and ITALK projects which pioneered artificial intelligence for human-robot interaction andenactive developmental cogntiive architectures harnessing imitation and linguistic learning via contingent social interaction.His work brings novel mathematical approaches, especially computer algebraic automata theory (Krohn-Rhodes theory)and information-theoretic methods, to interactive and computationally intelligent systems of all kinds. His current researchinterests focus on interaction, development and enaction in biological and artificial systems, the notion of first and second-person experience (including phenomenological and temporally extended experience in ontogeny) in humanoids and livingthings, as well as on mathematical and computer algebraic foundations and methods for complex adaptive systems.

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Keynote: Multi-Agent Systems with Applications in Traffic Control and Power SystemsEvent: IEEE SSCI – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 8.30-9.30, Wed. 17 April 2013

Speaker: Dipti SrinivasanDipti Srinivasan obtained her M.Eng. and Ph.D. degrees in Electrical Engineering from the National University of Singapore(NUS) in 1991 and 1994 respectively. She worked at the University of California at Berkeley’s Computer Science Division asa postdoctoral researcher from 1994 to 1995. In June 1995, she joined the faculty of the Electrical & Computer Engineeringdepartment at the National University of Singapore, where she is an Associate Professor. From 1998-1999 she was a VisitingFaculty in the Department of Electrical & Computer Engineering at the Indian Institute of Science, Bangalore, India.

Her main areas of interest are neural networks, evolutionary computation, intelligent multi-agent systems, and applica-tion of computational intelligence techniques to engineering optimization, planning and control problems. Her research hasfocused on the development of hybrid neural network architectures, learning methods and their practical applications forlarge complex engineered systems, such as the electric power system and urban transportation systems. These systems areexamined in various projects by applying multidisciplinary methods that are able to cope with the problems of imprecision,learning, uncertainty and optimization, when concrete models are constructed.

At the ECE department of National University of Singapore, she has been teaching courses in the areas of computa-tional intelligence, introduction to electrical engineering, and power & energy systems. She was the winner of NUS AnnualTeaching Excellence Award in year 2007, 2008 and 2009.

Dipti is a senior member of IEEE, and a member of IES, Singapore. She is currently serving as the Chair of IEEE Womenin Computational Intelligence (WCI) committee. She is the immediate past chair of the IEEE Power Engineering Chapter,Singapore, member of the IEEE Computational Intelligence Chapter, and a member of the Intelligent Transportation Systemtechnical committee.

She is currently an Associate Editor of IEEE Transactions on Intelligent Transportation Systems, Associate Editor of IEEETransactions on Neural Networks, Area Editor of International Journal of Uncertainty, Fuzziness and Knowledge-basedSystems, and Managing Editor of Neurocomputing journal.

Keynote: Computational Intelligence: What Can We Learn From the Brain?Event: IEEE SSCI – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 10.30 – 11.30, Thu. 18 April 2013

Speaker: Wlodzislaw DuchWlodzislawDuch heads the Department of Informatics, Nicolaus Copernicus University, Torun, Poland, and is the Vice-President for Research and ICT Infrastructure (2011-15) at this University. He worked as Nanyang Visiting Professor (2010-12) in the School of Computer Engineering, Nanyang Technological University, Singapore where has also worked in 2003-07.MSc (1977) in theoretical physics, Ph.D. in quantum chemistry (1980), postdoc at Univ. of Southern California, Los Ange-les (1980-82), D.Sc. in applied math (1987); worked at the University of Florida; Max-Planck-Institute, Munich, Germany,Kyushu Institute of Technology, Meiji and Rikkyo University in Japan, and several other institutions. He is/was on the edi-torial board of IEEE TNN, CPC, NIP-LR, Journal of Mind and Behavior, and 14 other journals; was co-founder & scientificeditor of the “Polish Cognitive Science” journal; for two terms has served as the President of the European Neural NetworksSociety executive committee (2006-2008-2011), is an active member of IEEE CIS Technical committee; works as expert ofthe European Union science programs; published about 300 scientific and 150 popular articles, co-authored 4 books andco-edited 19 books, his DuchSoft company has made GhostMiner software package marketed by Fujitsu.

W. Duch is an expert in computational intelligence (CI), especially in methods that facilitate understanding of data, gen-eral CI theory based on similarity evaluation and composition of transformations, meta-learning schemes that automaticallydiscover the best model for a given data. He also tries to develop neurocognitive informatics, algorithms inspired by mod-els of brain functions at different levels, geometrical theories for modeling of mental events and relating such models toneurodynamics, models of attention deficit disorders integrating genetic, molecular, neural and behavioral levels, infantlearning and toys that facilitate mental development. He has written a number of papers in the philosophy of mind, help-ing to develop cognitive sciences curriculum. With a wide background in many branches of science and understanding ofdifferent cultures he bridges various scientific communities. As a service to the international community he maintains manyweb pages related to computational intelligence,neuroscience, machine learning and statistics. To access these pages and hisfull CV just type his name in Google.

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Keynote: Computing with Words: Towards an Ultimately Human Centric Computing Paradigm?Event: IEEE SSCI – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 14.30 – 15.30, Thu. 18 April 2013

Speaker: Janusz KacprzykJanusz Kacprzyk graduated from the Department of Electronic, Warsaw University of Technology in Warsaw, Poland withM.Sc. in automatic control, his Ph.D. in systems analysis and D.Sc. (“habilitation”) in computer science from the PolishAcademy of Sciences. He is Professor of Computer Science at the Systems Research Institute, Polish Academy of Sciences,Professor of Computerized Management Systems at WIT - Warsaw School of Information Technology, and Professor ofAutomatic Control at PIAP - Industrial Institute of Automation and Measurements, in Warsaw, Poland, and Departmentof Electrical and Computer Engineering, Cracow University of Technology, in Cracow, Poland. He is Honorary ForeignProfessor at the Department of Mathematics, Yli Normal University, Xinjiang, China, and Visiting Scientist at the RIKENBrain Research Institute in Tokyo, Japan. He is Full Member of the Polish Academy of Sciences and Foreign Member of theSpanish Royal Academy ofEconomic and Financial Sciences (RACEF). He is Fellow of IEEE and of IFSA.He was a frequentvisiting professor in the USA, Italy, UK, Mexico and China. His mainresearch interests include the use of computationalintelligence, notably fuzzy logic, indecisions, optimization, control, data analysis and data mining, with applications indatabases,ICT, mobile robotics, etc.

He is the author of 5 books, (co)editor of 60 volumes, (co)author of ca.400 papers. He is theeditor in chief of 5 book series atSpringer, and of 2 journals, and a member of editorial boardsof more than 40 journals. He is a member of Award Committeeof IEEE CIS, a member ofAdcom(Administrative Committee) of IEEE CIS, and a Distinguished Lecturer of IEEE CIS.Hereceived many awards, notably: The 2006 IEEE CIS Pioneer Award in Fuzzy Systems, The2006 Sixth Kaufmann Prize andGold Medal for pioneering works on soft computing ineconomics and management, and The 2007 Pioneer Award of theSilicon Valley Section ofIEEE CIS for contribution in granular computing and computing in words, and Award of the2010Polish Neural Network Society for exceptional contributions to the Polish computationalintelligence community. Currentlyhe is President of the Polish Society for Operational andSystems Research and Past President of IFSA (International FuzzySystems Association).

Tutorial: Statistical Tests for Computational Intelligence Research and HumanSubjective TestsEvent: IEEE SSCI – 2013 Venue: Lyrebird, Level 3Date/Time: 15.30 – 16.30, Thu. 18 April 2013

Speaker: Hideyuki TakagiHideyuki Takagi is received a doctorate in Engineering from Toyohashi University of Technology in 1991. He had workedfor the Central Research Laboratories of Matsushita Electric Industrial Co., Ltd. (current Panasonic) in 1981 - 1995 andbecame Associate Professor of Kyushu Institute of Design and now Kyushu University after these two universities mergedin 2003. He was one of trigger researchers of neuro-fuzzy booming started from 1988 from Japan and then to the world. Now,he is focusing on humanized computational intelligence, especially IEC research. He is a volunteer for IEEE SMC Societysince 1998 as the Vice-President, Board of Governor, Technical Committee (TC) Chair, TC Coordinator, Distinguish Lecturer,Associate Editor of IEEE Trams. on SMC-B and now Trans. on Cybernetic, and one of organizers of SMC annual conferences.See his detail bio at http://www.design.kyushu-u.ac.jp/∼takagi/

Keynote: Threats to our Oceans: Towards Swarm Intelligence SolutionsEvent: IEEE SSCI – 2013 Venue: Lyrebird, Level 3Date/Time: 8.30 – 9.30, Fri. 19 April 2013

Speaker: David CorneDavid Corne is a Professor of Computer Science at Heriot-Watt University, Edinburgh, Scotland. He is currently Directorof Research for the School of Mathematical and Computer Sciences, leader of the Intelligent Systems Laboratory, and otherthings that he forgets at the moment. His research keywords are optimisation, evolutionary algorithms, machine learning,data analytics, text analytics, and (increasingly) environmental applications. He hates writing long biographies.

Keynote: Computational Aspect of Meta - Heuristic Optimization AlgorithmsEvent: IEEE SSCI – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 9.30 – 10.30, Fri. 19 April 2013

Speaker: Vaclav SnaselVaclav Snaselis is a Professor of Computer Science at VSB - Technical University of Ostrava, Czech Republic. He works as

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researcher and university teacher. He is Dean Faculty of Electrical Engineering and Computer Science. He is head of researchprogramme IT4 Knowledge management at European Center of Excellence IT4Innovations.

Vaclav Snasel’s research and development experience includes over 30 years in the Industry and Academia. He works ina multi-disciplinary environment involving artificial intelligence, social network, conceptual lattice, information retrieval,semantic web, knowledge management, data compression, machine intelligence, neural network, web intelligence, natureand Bio-inspired computing, data mining, and applied to various real world problems.

He has given more than 12 plenary lectures and conference tutorials in these areas. He has authored/co-authored severalrefereed journal/conference papers, books and book chapters. He has published more than 400 papers (212 papers arerecorded at Web of Science, 312 papers are recorded at Scopus). Citations at Google Scholar 1660 and h-index 17.

Keynote: Meta-Cognitive Cognitive Neural Networks in Medical Informatics and ControlEvent: IEEE SSCI – 2013 Venue: Galleria Ballroom, Level 3Date/Time: 11.30 – 12.30, Fri. 19 April 2013

Speaker: Suresh SundaramSuresh Sundaram received his B.E. in Electrical and Electronics Engineering from Bharathiyar University, and his M.E.and Ph.D. degrees from Indian Institute of Science Bangalore, India. He was a post-doctoral researcher in the School ofElectrical Engineering, Nanyang Technological University, Singapore, from 2005-2007. Subsequently, he was selected as aERCIM research fellow for the period of 2007-2008 and he spent valuable time in the project team PULSAR at INRIA Sophia-Antipolis, France. For a short period, he was working as Faculty at Industrial Engineering, Korea University, Seoul. Later, hewas with Indian Institute of Technology, Delhi, as an Assistant Professor in Electrical Engineering from 2008-2009. Since 2010he has been working as an Assistant Professor in the School of Computer Engineering, Nanyang Technological University,Singapore. He has published more than 100 journal/conference papers and a book on Supervised Learning with Complex-valued Neural Networks.

IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning(IEEE ADPRL 13)

ADPRL 13 is the fourth IEEE International Symposium on Adaptive Dynamic Programming and Reinforcement Learning.The field of adaptive or approximate dynamic programming and reinforcement learning is a fusion of a number of researchareas in engineering, mathematics, artificial intelligence, operations research, and systems and control theory. This sympo-sium brings together researchers from different disciplines and will provide an opportunity for the academic and industrialcommunity to address new challenges, share innovative and practical solutions, and define promising future research direc-tions.

The final technical program of ADPRL consists of 28 papers organized in different sessions. There will be a keynote lecturegiven by Prof. Huaguang Zhang and the five sessions contribute to various emerging areas of interest within ADPRL. Wehope you will find the symposium very interesting, and that you will enjoy sharing time with your colleagues during thesymposium to exchange ideas on adaptive methods for optimizing complex systems.

Symposium Chair Symposium Co-Chair(s)Marco A. WieringUniversity of Groningen, The Netherlands

Huaguang ZhangNortheastern University, ChinaJagannathan SarangapaniMissouri University of Science and Technology, USA

Program Committee

Robert Babuska, Delft University of Technology,The Netherlands

El-Sayed Mohamed El-Alfy, King Fahd University of Petroleum andMinerals, Saudi Arabia

Abhijit Gosavi, Missouri University of Science and Technology, USA

Frank L. Lewis, University of Texas at Arlington, USA

Haibo He, University of Rhode Island, USA

Warren Powell, Princeton University, USA

Jennie Si, Arizona State University, USA

Danil Prokhorov, Toyota Technical Center, USA

Shimon Whiteson, University of Amsterdam,Netherlands

Charles W. Anderson, Colorado State University, USAMatteo Gagliolo, Vrije Universiteit Brussel, Belgium

Hisashi Handa, Okayama University, JapanDong-Bin Zhao, Chinese Academy of Sciences, China

Kazuhiro Ohkura, Hiroshima University, JapanDamien Ernst, University of Liege, Belgium

Lucian Busoniu, University of Lorraine, FranceZhong-Ping Jiang, Polytechnic Institute of NYU, USA

Marcus Hutter, Australian National University,AustraliaYasutake Takahashi, University of Fukui, Japan

Derong Liu, University of Illinois Chicago, USA

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Koichi Moriyama, Osaka University, JapanEmo Todorov, University of Washington, USAYanhong Luo, Northeastern University, ChinaWen Yu, Civestav-IPN, MexicoAnn Nowé, Vrije Universiteit Brussel, BelgiumZeng-Guang Hou, Chinese Academy of Sciences, ChinaRémi Munos, INRIA Lille, FranceDraguna Vrabie, United Technologies Research Center, USAXin Xu, National University of Defense Technology, ChinaYan Zhao, Shenyang Institute of Engineering, ChinaDedong Yang, Hebei University of Technology, ChinaTiedong Ma, Chongqing University, ChinaXin Zhang, Northeastern University, ChinaRaphael Fonteneau, University of Liege, BelgiumAntonios Tsourdos, Defence Academy of theUnited Kingdom, UKMingcong Deng, Tokyo University, JapanHossein Javaherian, General Motors Warren, USAMartijn van Otterlo, Radboud University Nijmegen, NetherlandsHarm van Seijen, University of Alberta, CanadaHado van Hasselt, CWI Amsterdam, NetherlandsMarc Deisenroth, University of Washington, USA

Gerhard Neuman, Technical University Darmstadt, Germany

Abdeslam Boularias, Max Planck Institute forIntelligent Systems Tübingen,Germany

Frans Oliehoek, University of Maastricht. Netherlands

Nikos Vlassis, University of Luxembourg, Luxembourg

Matthijs Spaan, Delft University of Technology,Netherlands

Martin Riedmiller, University of Freiburg, Germany

Thomas Gabel, University of Freiburg, Germany

Todd Hester, University of Austin Texas, USA

Karl Tuyls, University of Maastricht, Netherlands

Istvan Szita, Google, Switzerland

Shahab Mehraeen, Louisiana State University, USA

Travis Dierks, DRS Technologies St. Louis, USA

Kyriakos Vamvoudakis, University of California, USA

Guang-Bin Huang, Nanyang Technological University, Singapore

Jian Fu, Wuhan University of Technology, China

Zhanshan Wang, Northeastern University, China

Qinglai Wei, Chinese Academy of Sciences, China

Chunbin Qin, Henan University, China

Keynote: Intelligent Adaptive Optimal Control: Algorithms and StabilityBy Prof. Huaguang Zhang Chair: Dr Marco WieringDate/Time: 13.30 – 14.30, Wed. 17 April 2013 Venue: Galleria Ballroom, Level 3

Keynote: General-purpose RLADP: Solving the Scaling ProblemBy Dr. Paul Werbos Chair: Dr. Marco WieringDate/Time: 14.30 – 15.30, Wed. 17 April 2013 Venue: Galleria Ballroom, Level 3

Session: Finite-Approximate-Error Based Adaptive Dynamic Programming: Algorithms and ApplicationsChair: Huaguang Zhang Co-Chair: Jagannathan SarangapaniDate/Time: 8.30 – 10.10, Wed. 17 April 2013 Venue: Oriole, Level 4

SS-0146 Local Stability Analysis of High-Order Recurrent Neural Networks with Multi-Step Piecewise LinearActivation Functions—Yujiao Huang, Huaguang Zhang and Dongsheng Yang

SS-0817 Finite-Horizon Optimal Control Design for Uncertain Linear Discrete-Time Systems—Qiming Zhao,Hao Xu and S. Jagannathan

SS-0191 Adaptive Optimal Control for Nonlinear Discrete-Time Systems—Chunbin Qin, Huaguang Zhang andYanhong Luo

SS-0410 Optimal Control for a Class of Nonlinear System with Controller Constraints Based onFinite-Approximation-Errors ADP Algorithm—Ruizhuo Song, Wendong Xiao and Yanhong Luo

SS-0696 Finite Horizon Stochastic Optimal Control of Uncertain Linear Networked Control System—Hao Xu andS. Jagannathan

Session: ADP and RL in Real-Time Feedback SystemsChair: Xin Xu Co-Chair: Haibo HeDate/Time: 10.40 – 12.20, Wed. 17 April 2013 Venue: Oriole, Level 4

SS-0259 Exponential Moving Average Q-Learning Algorithm—Mostafa D. Awheda and Howard M. Schwartz

SS-0262 Real-Time Tracking on Adaptive Critic Design with Uniformly Ultimately Bounded Condition—Zhen Ni,Xiao Fang, Haibo He, Dongbin Zhao and Xin Xu

SS-0561 A Novel Approach for Constructing Basis Functions in Approximate Dynamic Programming for FeedbackControl—Jian Wang, Zhenhua Huang, Xin Xu and Jian Wang

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SS-0597 A Combined Hierarchical Reinforcement Learning Based Approach for Multi-Robot Cooperative TargetSearching in Complex Unknown Environments—Yifan Cai, Simon X. Yang and Xin Xu

SS-0988 The Second Order Temporal Difference Error for Sarsa(λ)—Qiming Fu, Quan Liu, Fei Xiao and Guixin Chen

Session: Online PlanningChair: Lucian Busuniu Co-Chair: Tobias JungDate/Time: 8.30 – 10.10, Thur. 18 April 2013 Venue: Oriole Level 4

SS-0103 Optimistic Planning for Continuous-Action Deterministic Systems—Lucian Buoniu, Alexander Daniels,Rémi Munos and Robert Babuška

SS-0388 Optimistic Planning for Belief-Augmented Markov Decision Processes—Raphael Fonteneau, Lucian Busoniuand Rémi Munos

SS-0604 Optimized Look-Ahead Trees: Extensions to Large and Continuous Action Spaces—Tobias Jung,Damien Ernst and Francis Maes

SS-0703 Bias-Corrected Q-Learning to Control Max-Operator Bias in Q-Learning—Donghun Lee, Boris Defourny andWarren B. Powell

SS-0713 Value Function Approximation and Model Predictive Control—Mingyuan Zhong, Mikala Johnson, Yuval Tassa,Tom Erez and Emanuel Todorov

Session: Reinforcement Learning Methods and ApplicationsChair: Marco Wiering Co-Chair: Evangelos TheodorouDate/Time: 10.40 – 12.20, Thur. 18 April 2013 Venue: Oriole Level 4

SS-0170 Reinforcement Learning in the Game of Othello: Learning Against a Fixed Opponent and Learning fromSelf-Play—Michiel van der Ree and Marco Wiering

SS-0299 A Reinforcement Learning Algorithm Developed to Model GenCo Strategic Bidding Behavior inMultidimensional and Continuous State and Action Spaces—Alfred Yong Fu Lau, Dipti Srinivasan andThomas Reindl

SS-0325 Free Energy Based Policy Gradients—Evangelos A. Theodorou, Jiri Najemnik and Emo Todorov

SS-0894 Delayed Insertion and Rule Effect Moderation of Domain Knowledge for Reinforcement Learning—Teck-Hou Teng and Ah-Hwee Tan

Session: Evolutionary Algorithms for ADPRLChair: Hisashi Handa Co-Chair: Ichiro KobayashiDate/Time: 13.40 – 15.20, 18 April 2013 Venue: Oriole Level 4

SS-0775 Exploring the Relationship of Reward and Punishment in Reinforcement Learning – Evolving ActionMeta-Learning Functions in Goal Navigation—Robert Lowe and Tom Ziemke

SS-0854 Analyzing Collective Behavior in Evolutionary Swarm Robotic Systems Based on an EthologicalApproach—Toshiyuki Yasuda, Nanami Wada, Kazuhiro Ohkura and Yoshiyuki Matsumura

SS-0585 Reinforcement Learning to Train Ms. Pac-Man Using Higher-Order Action-Relative Inputs—Luuk Bom,Ruud Henken and Marco Wiering

SS-0922 A Study on the Efficiency of Learning a Robot Controller in Various Environments—Sachiko Soga andIchiro Kobayashi

SS-0968 On the Coordination System for the Dimensionality-Reduced Inputs of Mario—Hisashi Handa

Posters Date/Time: 8.30 – 10.10, Thur. 18 April 2013

SS-0048 Optimal Control for a Class of Nonlinear Systems with State Delay based on Adaptive DynamicProgramming with ε-error bound—Xiaofeng Lin, Nuyun Cao and Yuzhang Lin

SS-0735 An Integrated Design for Intensified Direct Heuristic Dynamic Programming—Xiong Luo, Jennie Si andYuchao Zhou

SS-0345 Scalarized Multi-Objective Reinforcement Learning: Novel Design Techniques—Kristof Van Moffaert, MadalinaM. Drugan and Ann Nowé

SS-0994 Fault Accommodation for Complete Synchronization of Complex Neural Networks—Zhanshan Wang, FufeiChu, Hongjing Liang and Huaguang Zhang

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IEEE Symposium on Artificial Life (IEEE ALIFE 2013)

The Fourth IEEE International Symposium on Artificial Life (IEEE ALIFE 2013) held for the first time in Asia, in the inter-national, intercultural center of Singapore, brings together researchers working on the emerging areas of Artificial Life andComplex Adaptive Systems, aiming to understand and synthesize life-like systems, applying bio-inspired synthetic meth-ods and foundational issues to other scientific and constructive disciplines, including Biology, Medicine, Developmental andSocial Robotics, Computational Intelligence, various branches of Engineering, Social Sciences, among others.

Artificial Life is the study of the simulation and synthesis of living and life-like systems. In particular, this science ofgeneralized living and life-like systems provides engineering with billions of years of design expertise to learn from andexploit through the example of the evolution of organic life on earth. Increased understanding of the massively successfuldesign diversity, complexity, and adaptability of life is rapidly making inroads into all areas of engineering and the Sciencesof the Artificial. Numerous applications of ideas from nature and their generalizations from life-as-we-know-it to life-as-it-could-be are thus continually finding their way into engineering and science via Artificial Life and its spin-off fields.Moreover, these advances are feeding back to the natural sciences and medicine.

We are honored to present an intellectually stimulating program of excellent contributed papers, as well as two keynoteaddresses by distinguished researchers: Dr. Katie Bentley (USA) on “Artificial Life in the Fight against Cancer”, Dr. MikhailProkopenko (Australia) on “Information Dynamics at the Edge of Chaos”, in addition to Prof. Chrystopher L. Nehaniv’s(UK) keynote for the Symposium Series on Computational Intelligence on “Interaction and Experience in Enactive Intel-ligence and Humanoid Robotics”. Wolfram Research has kindly agreed to continue sponsoring the Best Paper and BestStudent Paper awards for IEEE ALIFE 2013 for which we are grateful.

We thank everyone who has contributed to making this IEEE Artificial Life Symposium a success, including the partici-pants; members of the IEEE Computational Intelligence Society Task Force on Artificial Life and Complex Adaptive Systems;all the authors who submitted papers reporting exciting original research pushing the boundaries of artificial life, its founda-tions and applications; the program committee for advice and timely but rigorous, constructive reviews; and as well as theadditional anonymous reviewers. As part of the IEEE Symposium Series on Computational Intelligence 2013, IEEE ArtificialLife has also benefitted greatly from excellent, tireless work and dedication of the IEEE SSCI 2013 organizers.

Symposium ChairChrystopher L. NehanivUniversity of Hertfordshire, UK

Terry BossomaierCharles Sturt University, AustraliaHiroki SayamaBinghamton University, State University of New York, USA

Program Committee

Hussein Abbass, University of New South Wales,Australian Defence Force Academy, Australia

Andrew Adamatzky, University of theWest of England, UK

Andreas Albrecht, Middlesex Universityin London, UK

Lee Altenberg, University of Hawaii, USA

Takaya Arita, Nagoya University, Japan

Wolfgang Banzhaf, Memorial University, Canada

Randall Beer, Indiana University, USA

Axel Bender, Defence Science and TechnologyOrganisation, Australia

Katie Bentley, Cancer Research, UK & Harvard Medical School, USA

Josh Bongard, University of Vermont, USA

Martin V. Butz, University of Würzburg, Germany

Angelo Cangelosi, University of Plymouth, UK

Dominique Chu, University of Kent, UK

Kerstin Dautenhahn, University of Hertfordshire, UK

Alan Dorin, Monash University, Australia

René Doursat, Complex Systems Institute, Paris, France

Margaret J. Eppstein, University of Vermont, USA

Robert A. Freitas, Jr., Institute for MolecularManufacturing, USA

Carlos Gershenson, Universidad Nacional Autonoma de Mexico,Mexico

David Green, Monash University, Australia

Inman Harvey, University of Sussex, UK

Takashi Ikegami, University of Tokyo, Japan

Christian Jacob, University of Calgary, Canada

Joseph Lizier, Max Planck Institute for Mathematicsin the Sciences, Germany

Bob McKay, Seoul National University, Korea

Peter William McOwan, Queen Mary, University of London, UK

Stefano Nolfi, Institute of Cognitive Sciences andTechnologies, CNR, Italy

Joshua L. Payne, University of Zurich, Switzerland

Daniel Polani, University of Hertfordshire, UK

Steen Rasmussen, University of Southern Denmark, Denmark

Thomas S. Ray, University of Oklahoma, USA

John Rieffel, Union College, USA

Luis Rocha, Indiana University, USA

Reiji Suzuki, Nagoya University, Japan

Christof Teuscher, Portland State University, USA

Tatsuo Unemi, Soka University, Japan

Sebastian von Mammen,University of Calgary, Canada

Juyang Weng, Michigan State University, USA

Justin Werfel, Harvard University, USA

Jason Teo Tze Wi, Universiti Malaysia Sabah, Malaysia

Janet Wiles, University of Queensland, Australia

Hector Zenil, University of Sheffieldand Wolfram Research, UK

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Keynote: Artificial Life in the Fight Against CancerBy Dr. Katie Bentley Chair:Date/Time: 10.30 – 11.30, Tue. 16 April 2013 Venue: Lyrebird, Level 3

Keynote: Information Dynamics at the Edge of ChaosBy Dr. Mikhail Prokopenko Chair:Date/Time: 15.30 – 16.30, Wed. 17 April 2013 Venue: Lyrebird, Level 3

Session: Chemical, Cellular & Evolutionary DynamicsChair: Katie Bentley Co-Chair: Chrystopher NehanivDate/Time: 13.40 – 15.20, Tue. 16 April 2013 Venue: Pelican Level 4

SS-0851 The Positive Role of Parasites in the Origins of Life—Nathaniel Virgo, Tom Froese and Takashi Ikegami

SS-0584 A Distributed Stochastic Perception-Action Loop Model of Cell Motility—Moritz Buck, Deniz Saltukoglu,Melanie Boerries, Matias Simons and Hauke Busch

SS-0021 Evolving Parameters for a Noisy Bio-System—Dominique Chu

SS-0973 A Deterministic Agent-Particle Model for Cellular Diffusion, Aggregation and Self-Organization—Jean Marie Dembele and Hiroki Sayama

Session: Algorithms & MethodologiesChair: Mikhail Prokopenko Co-Chair: Chrystopher NehanivDate/Time: 8.30 – 10.30, Wed. 17 April 2013 Venue: Pelican Level 4

SS-0965 Designing and Evaluating Algorithms for Automated Discovery of Adaptive Network Models Based onGenerative Network Automata—Jeffrey Schmidt and Hiroki Sayama

SS-0656 Using Evolutionary Computation as Models/Tools for Human Decision Making and CreativityResearch—Hiroki Sayama and Shelley D. Dionne

SS-0446 Towards a Synergy-Based Approach to Measuring Information Modification—Joseph T. Lizier, Benjamin Fleckerand Paul L. Williams

SS-0686 Step Evolution: Improving the Performance of Open-Ended Evolution Simulations—Tiago Baptista andErnesto Costa

SS-0100 Network Representation of the Game of Life and Self-Organized Criticality—Yoshihiko Kayama

Session: Perception, Behavior & InteractionChair: Joseph Lizier Co-Chair: Hiroki SayamaDate/Time: 10.40 – 12.20, Wed. 17 April 2013 Venue: Pelican Level 4

SS-0529 Creating Space-Time Affordances Via an Autonomous Sensor Network—Norihiro Maruyama, Mizuki Oka andTakashi Ikegami

SS-0628 Decentralized Approach to Evolve the Structure of Metamorphic Robots—Tarek Ababsa, Noureddine Djedi,Yves Duthen and Sylvain Cussat Blanc

SS-0295 Co-Evolving Semi-Competitive Interactions of Sheepdog Herding Behaviors Utilizing a Simple Rule-BasedMulti Agent Framework—Erandi Lakshika, Michael Barlow and Adam Easton

SS-0523 Hey! There is Someone at Your Door. A Hearing Robot Using Visual Communication Signals of HearingDogs to Communicate Intent—K. L. Koay, G. Lakatos, D. S. Syrdal, M. Gácsi, B. Bereczky, K. Dautenhahn,A. Miklósi and M. L. Walters

SS-0895 Exploring Music as Communicative Gesture: A Drumming Implementation for a HumanoidRobot—Konstantinos Theofilis, Chrystopher L. Nehaniv and Kerstin Dautenhahn

Session: Ecological and Social DynamicsChair: Terry Bossomaier Co-Chair: Hiroki SayamaDate/Time: 13.40 – 15.20, Wed. 17 April 2013 Venue: Pelican Level 4

SS-0127 On Simulating Seed Foraging by Red Harvester Ants—Gary Greenfield

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SS-0964 Exploring Male Spatial Placement Strategies in a Biologically Plausible Mating Task—Matthias Scheutz,Max Smiley and Sunny K. Boyd

SS-0227 Robots that Specialize and Make Exchanges—Domenico Parisi and Giovanni Sirio Carmantini

SS-0706 Artificial Evolution for the Detection of Group Identities in Complex Artificial Societies—Corrado Grappiolo,Julian Togelius and Georgios N. Yannakakis

SS-0958 Social Particle Swarm: Explosive Particle Dynamics Based on Cooperative/Defective Forces—Keita Nishimoto, Reiji Suzuki and Takaya Arita

Posters Date/Time: 13.40 – 15.20, Tue. 16 April 2013

SS-0825 Observing Evolution in Artificial Life Studies: Algorithmic Considerations—Janardan Misra

IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, andBrain (IEEE CCMB 2013)

Computational Intelligence (CI) has for many years drawn inspiration from the brain to produce data and signal processingtechniques and systems which are capable of learning, evolving, adapting, self-organizing, communicating effectively withhumans and machines and controlling complex systems. Brain-inspired methods are now widely used to process data pro-duced by the brain with the aim of improving our understanding of how the brain functions and produces the remarkableintelligence exhibited by humans, which is yet elusive for computational systems.

This Symposium focuses on several core topics associated with cognitive algorithms, mind and brain, which are deemedto be of critical Brain-Computer Interfaces (BCIs), Computational models of functional and dysfunctional brain circuitry andCognitive Robotics.

In general, we are interested in dynamic brain models and brain inspired methods which are used to differentiate betweensignals from different domains, uniquely fingerprint signals for identification, feature extraction, classification, modelling,prediction and more but the main topics of interest include studies of Cortical dynamics, theory & experiments, Brain-machine interfaces & neuroprostheses, Motor circuitry of the brain, Autonomous robot control, Brain rhythms and theircognitive relevance, Embodied cognition modeling, Neural Modelling Fields (NMF), Cognitive robotics, Perceptual process-ing, Evolutionary and multi-agent modeling, Psychological and neurological disorders, Language learning and evolution,Cognitive and emotional processing and Socio-cultural modelling

Chair(s)Leonid PervlovskyHarvard University, Air Force Research Laboratory, USA

Damien CoyleUniversity of Ulster, UKJose F FontanariUniversity of Sao Paulo, BrazilRobert KozmaThe University of Memphis, USA

Advisory CommitteeAngelo CangelosiPlymouth, UK

Henry HexmoorSIU, USA

Dan LevineUTA, USA

Program Committee

Peter Andras, Newcastle, UK

Kai Keng Ang, Singapore

Basab Bhattacharya, N Ireland

Ross Deming, AFRL, USA

Justin Dauwels,Nanyang Technological University,Singapore

Jose Fontanari, Brazil

John Gan, Essex, UK

Mario Gongora, Leicester, UK

Cuntai Guan, Singapore

Christoph Guger, Austria

Roman Ilin, AFRL, USA

Li-Wei Ko, NCTU, Taiwan

Fabien Lotte, Singapore

Heba Lakany, Glasgow, UK

Chin-Teng Lin, NCTU, Taiwan

Kia Nazarpour, Newcastle, UK

Abdul Satti, U of Ulster, N Ireland

Francisco Sepulveda, Essex, UK

Walter Weisse, Rhode Island, USA

Keynote: Mathematical Models of the Mind, Cognitive Algorithms, and Engineering Applications — Language andCognition: Concepts, Emotions, and MusicBy Dr. Leonid Perlovsky Chair:Date/Time: 9.30 – 10.30, Thu. 18 April 2013 Venue: Lyrebird, Level 3

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Keynote: Brain-Computer Interface and its Potential New ApplicationsBy Dr. Cuntai Guan Chair:Date/Time: 11.30 – 12.30, Thu 18 April 2013 Venue: Galleria Ballroom, Level 3

Session: Mind and Brain 1Chair: Chin-Teng Lin Co-Chair: Joshua DavisDate/Time: 8.30–10.10, Tue. 16 April 2013 Venue: Cardinal Level 3

SS-0906 A Hierarchical Classification System for Sleep Stage Scoring via Forehead EEG Signals—Chih-Sheng Huang,Chun-Ling Lin, Li-Wei Ko, Sheng-Yi Liu, Tung-Ping Su and Chin-Teng Lin

SS-0932 The Influence of Acute Stress on Brain Dynamics—Chin-Teng Lin, Yu-Kai Wang, Jhe-Wei Fan and Shi-An Chen

SS-0857 Discovering the Learned Rules of Dress Collocation Inside Neural Network Mechanism—Yi-Chun Lin,Chao-I Tuan and Cheng-Yuan Liou

SS-0923 Creation of Knowledge & Meaning Manifested via Cortical Singularities in Cognition – Towards aMethodology to Understand Intentionality and Critical Behavior in Neural Correlates of Awareness—Jeffery Jonathan (Joshua) Davis and Robert Kozma

Session: Mind and Brain 2Chair: Sheng-Fu Liang Co-Chair: Justin DauwelsDate/Time: 10.40–12.20, Tue. 16 April 2013 Venue: Cardinal Level 3

SS-0154 Spiking-Timing Based Pattern Recognition with Real-World Visual Stimuli—Jun Hu, Huajin Tang and K. C. Tan

SS-0552 An Energy Efficient Real-Time Seizure Detection Method in Rats with Spontaneous Temporal LobeEpilepsy—Yu-Lin Wang, Sheng-Fu Liang, Fu-Zen Shaw, Yu-Shin Huang and Yin-Lin Chen

SS-0625 A Cognitive Robotic Model of Mental Rotation—Kristsana Seepanomwan, Daniele Caligiore, Gianluca Baldassarreand Angelo Cangelosi

SS-0654 A Quantitative Comparison of the Most Sophisticated EOG-Based Eye Movement RecognitionTechniques—M. Duvinage, J. Cubeta, T. Castermans, M. Petieau, T. Hoellinger, G. Cheron and T. Dutoit

SS-0870 A Model of Stimulus Induced Epileptic Spike-Wave Discharges—Peter N. Taylor, Gerold Baier, Sydney S. Cash,Justin Dauwels, Jean-Jacques Slotine and Yujiang Wang

Session: Cognitive AlgorithmsChair: Yair Neuman Co-Chair: Robert HercusDate/Time: 15.50–17.30, Tue. 16 April 2013 Venue: Cardinal Level 3

SS-0038 Why "Dark Thoughts” Aren’t Really Dark: A Novel Algorithm for Metaphor Identification—Dan Assaf,Newton Howard, Yair Neuman, Mark Last, Yohai Cohen, Ophir Frieder, Shlomo Argamon and Moshe Koppel

SS-0092 A Cognitively Motivated Word Sense Induction Algorithm—Yair Neuman, Dan Assaf and Yohai Cohen

SS-0394 Control of an Unmanned Aerial Vehicle Using a Neuronal Network—Robert Hercus, Hong-Shim Kong andKim-Fong Ho

SS-0417 Optimization of Multi-Layer Artificial Neural Networks Using Delta Values of Hidden Layers—N. M. Wagarachchi and A. S. Karunananda

SS-0712 Model-Based Reinforcement Learning for Humanoids: A Study on Forming Rewards with the iCubPlatform—Anestis Fachantidis, Alessandro Di Nuovo, Angelo Cangelosi and Ioannis Vlahavas

Session: Brain-Computer Interfaces 1Chair: Damien Coyle / Kai Keng Ang Co-Chair:Date/Time: 8.30–10.10, Wed. 17 April 2013 Venue: Cardinal Level 3

SS-0072 Online Feature Selection for Brain Computer Interfaces—Gareth Oliver, Peter Sunehag and Tom Gedeon

SS-0089 Connectivity Pattern Modeling of Motor Imagery EEG—Xinyang Li, Sim-Heng Ong, Yaozhang Panand Kai Keng Ang

SS-0951 Unsupervised Short-Term Covariate Shift Minimization for Self-Paced BCI—Raheleh Mohammadi,Ali Mahloojifar and Damien Coyle

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SS-0239 Fixed-Point CCA Algorithm Applied to SSVEP Based BCI System—Pujie Zheng and Xiaorong Gao

SS-0091 Spatial Filter Design Based on Re-Estimated Projection Matrices—Xinyang Li, Sim-Heng Ong, Yaozhang Panand Kai Keng Ang

Session: Brain-Computer Interfaces 2Chair: Damien Coyle / Kai Keng Ang Co-Chair:Date/Time: 13.40–15.20 Wed. 17 April 2013 Venue: Cardinal Level 3

SS-0482 Neural Representation and Identification of Reaching Targets by Spike Trains in Motor Cortex—Zhiming Xu,Ang Kai Keng, Cuntai Guan and Huynh Thai Hoa

SS-0572 Differential Evolution with Temporal Difference Q-Learning Based Feature Selection for Motor Imagery EEGData—Saugat Bhattacharyya, Pratyusha Rakshit, Amit Konar, D. N. Tibarewala, Swagatam Das and Atulya K. Nagar

SS-0912 Common Spatial Pattern and Linear Discriminant Analysis for Motor Imagery Classification—Shang-Lin Wu,Chun-Wei Wu, Nikhil R. Pal, Chih-Yu Chen, Shi-An Chen and Chin-Teng Lin

SS-0526 Navigation in a Virtual Environment Using Multiclass Motor Imagery Brain-Computer Interface—Zheng Yang Chin, Kai Keng Ang, Chuanchu Wang and Cuntai Guan

SS-1001 EEG-Based Motion Sickness Classification System with Genetic Feature Selection—Li-Wei Ko, Hua-Chin Lee,Shu-Fang Tsai, Tsung-Chin Shih, Ya-Ting Chuang, Hui-Ling Huang, Shinn-Ying Ho and Chin-Teng Lin

IEEE Computational Intelligence Applications in Smart Grid (IEEE CIASG 2013)

Computational Intelligence (CI) evolves computational models and tools of intelligence capable of handling large rawnumerical sensory data directly, processing them by exploiting the representational parallelism and pipelining the prob-lem, generating reliable and just-in-time responses, and having high fault tolerance. Smart grid is basically the embeddingof intelligence to enable bidirectional power flows with traditional sources of power generation, renewable sources andenergy storage. CI deployment is essential in smart grid to make it a success. Research and deployment of smart grid tech-nologies are being promoted by governments of many countries as a way of addressing energy independence, emissionreductions, and bringing resilience to electricity infrastructures. The Symposium on CI Applications in Smart Grid (CIASG)aims at bringing researchers and engineers from academia and industry together to present, interact and review the latestprogresses in this emerging field, and to explore future research directions to address its challenges.

Co-Chair(s)Ganesh Kumar VenayagamoorthyClemson University, Clemson, SC, USA

Jung-Wook ParkYonsei University, Korea

Haibo HeUniversity of Rhode Island, USA

Program Committee

S. Charkrabarti, IndiaP. Estevez, ChileD. Falcao, BrazilK. Folly, South AfricaR. Harley, USAR. Hadidi, USA

G. Krost, GermanyE. Kyriakides, CyprusL. Lai, UKB. Luitel, USAO. Malik, CanadaS. Mohagheghi, USA

D. Niebur, USAA. Saber, USAE. Sanchez, MexicoT. Senjyu, JapanA. da Silva, BrazilS. Singh, India

G. Taranto, Brazil

G. Taylor, UK

G. Torres, Brazil

Z. Vale, Portugal

X. Xia, South Africa

Keynote: How to Get Real Benefits from Real Intelligence in the GridBy Dr. Paul Werbos Chair:Date/Time: 11.30 – 12.30, Tue. 16 April 2013 Venue: Galleria Ballroom, Level 3

Session: Wide Area SystemsChair: Ganesh Kumar Venayagamoorthy, Clemson Univer-sity, USA

Co-Chair:

Date/Time: 8.30 – 10.10, Tue. 16 April 2013 Venue: Swallow Level 3

SS-0296 Optimal PMU Placement with Local Redundancy of Conventional Measurements—Xia Nanand Gooi Hoay Beng

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SS-0414 Information Processing and Visualization of Power System Wide Area Time Varying Data—S. Dutta andT. J. Overbye

SS-0991 CNN Based Power System Transient Stability Margin and Voltage Stability Index Prediction—Karthikeyan Balasubramaniam, Ganesh Kumar Venayagamoorthy and Neville Watson

SS-0708 Analysis of Electromechanical Disturbance Propagation in Power Systems—Saurav Mohapatra, Hao Zhu andThomas J. Overbye

Session: [Invited Talks] Power System ControlChair: Jung-Wook Park, Yonsei University, Korea Co-Chair:Date/Time: 13.40 – 15.20, Tue. 16 April 2013 Venue: Swallow Level 3

SS-0115 Optimal Dispatch of Reactive Power Sources by Using MVMOS Optimization—José L. Rueda and István Erlich

SS-0940 Power System Controller Design Using Multi-Population PBIL—Komla Agbenyo Folly andGanesh Kumar Venayagamoorthy

SS-0209 Fuzzy Logic Decision-Making in Multi-Agent Systems for Smart Grids—R. Bharat Menon, Sangeetha B. Menon,Dipti Srinivasan and Lakhmi Jain

SS-0687 Dispatch of Distributed Energy Resources to Provide Energy and Reserve in Smart Grids Using a ParticleSwarm Optimization Approach—Pedro Faria, Tiago Soares, Tiago Pinto, Tiago M. Sousa, João Soares, Zita Vale andHugo Morais

SS-0887 Comparative Study Between HDP and PSS on DFIG Damping Control—Yufei Tang, Haibo He and Jinyu Wen

Session: ForecastingChair: Haibo He, University of Rhode Island, USA Co-Chair:Date/Time: 15.50 – 17.30, Tuesday April 2013 Venue: Swallow Level 3

SS-0281 Construction of Neural Network-Based Prediction Intervals for Short-Term Electrical Load Forecasting—Hao Quan, Dipti Srinivasan, Abbas Khosravi, Saeid Nahavandi and Doug Creighton

SS-0300 Recent Approaches to Non-Intrusive Load Monitoring Techniques in Residential Settings—Yung Fei Wong,Y. Ahmet Sekercioglu, Tom Drummond and Voon Siong Wong

SS-0464 A Fast Multiple Appliance Detection Algorithm for Non-Intrusive Load Monitoring—Voon Siong Wong, YungFei Wong, Tom Drummond and Y. Ahmet Sekercioglu

SS-0742 Forecasting Solar and Wind Data Using Dynamic Neural Network Architectures for a Micro-GridEnsemble—Shivangi Gupta, Dipti Srinivasan and Thomas Reindl

SS-0955 Effects of Data Cleansing on Load Prediction Algorithms—Boye A. Høverstad, Axel Tidemannand Helge Langseth

Session: Renewables and StorageChair: Haibo He, University of Rhode Island, USA Co-Chair:Date/Time: 10.40 – 12.20, Tue. April 2013 Venue: Swallow Level 3

SS-0889 Dynamic Performance Model of Wind Turbine Generators—Prajwal K. Gautam and Ganesh K. Venayagamoorthy

SS-0960 Fast and Revenue-Oriented Protection of Radial LV Cables with Smart Battery Operation—Sara Ramezani,Nicolas Höning and Han La Poutré

SS-0554 Evolutionary Computation Enabled Controlled Charging for E-Mobility Aggregators—Stephan Hutterer,Michael Affenzeller and Franz Auinger

Session: Simulation and OptimizationChair: Istvan Erlich, University of Dussiburg-Essen, Ger-many

Co-Chair:

Date/Time: 15.50 – 17.30, Wed. April 2013 Venue: Swallow Level 3

SS-0776 [Invited Talks] Home Energy Resource Scheduling Algorithms and Their Dependency on the BatteryModel—Stefano Squartini, Danilo Fuselli, Matteo Boaro, Francesco De Angelis and Francesco Piazza

SS-0890 Developing Neural Networks Library in RSCAD for Real-Time Power System Simulation—Bipul Luitel,Ganesh Kumar Venayagamoorthy and Gabriel Oliveira

SS-0607 Multi-Objective Parallel Particle Swarm Optimization for Day-Ahead Vehicle-to-Grid Scheduling—João Soares, Zita Vale, Bruno Canizes and Hugo Morais

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SS-0679 Modified Discrete PSO to Increase the Delivered Energy Probability in Distribution Energy Systems—Bruno Canizes, João Soares, Hugo Morais and Zita Vale

SS-0355 Optimization of Electricity Pricing Considering Neural Network Based Model of Consumers’ DemandResponse—T. Holtschneider and I. Erlich

Posters Date/Time: 10.40 – 12.20, Tue. April 2013

SS-0450 Self-Organization Model for the Energy Cluster Formation with Distributed Energy Network—Takeshi Ishida

IEEE Symposium on Computational Intelligence in Bioinformatics andComputational Biology (IEEE CIBCB 2013)

CIBCB 2013 is the 10th annual IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biol-ogy. The symposium brings together top researchers from around the world to discuss the latest advances in the field ofcomputational intelligence and its application to real-world problems in theoretical and applied biology, bioinformatics,computational biology, chemical informatics, bioengineering and related fields. Computational Intelligence (CI) approachesinclude artificial neural networks, fuzzy logic, evolutionary computation, hybrid approaches and other emerging techniquesincluding but not limited to ant colony optimization, particle swarm optimization, and support vector machines.

The final technical program consists of 35 oral papers and 9 posters selected from 69 submissions. There will be 7 con-tributed sessions and 3 keynote lectures delivered by Dr. Vladimir Brusic, Dr. Paulo Lisboa, and Dr. Hong Yan. This brings usto the focus of this conference – to explore complex biological systems and to employ the expertise of computer engineeringin designing effective methodologies for genome-wide study. Also, the conference features a lively and informative forumfor scientists and researchers to exchange ideas, and this can even be an excellent opportunity for international collaboration.

I also deeply thank the IEEE Computational Intelligence Society’s Bioinformatics and Bioengineering Technical Commit-tee (BBTC) for their support of this conference over the years and particularly in 2013. The BBTC has provided members ofthe organizing committee and the technical review panel. I am grateful to the IEEE Computational Intelligence Society fortheir overall sponsorship of this event.

Chair(s)Jung-Hsien ChiangNational Cheng Kung University, Taiwan

Pau-Choo (Julia) ChungNational Cheng Kung University, Taiwan

Program Committee

Acharya, RajAdams, DeanArieshanti, IsyeArtymiuk, PeterAshlock, WendyAshlock, DanielAzuaje, FranciscoBaldi, PierreBandyopadhyay, S.Barash, DannyBi, Chengpeng (Charlie)Biganzoli, EliaBlazewicz, JacekBondugula, RajkumarBrunak, SorenBrusic, VladimirCairns, DavidChe, DongshengChen, Xue-wenChetty, MadhuChiang, Jung-HsienChiu, DavidCho, Sung-BaeChou, Hui-HsienChung, Pau-Choo (Julia)Congdon, Clare, BatesCook, Di

Corne, DavidCorns, Steven M.Cotta-Porras, CarlosCruz-Cano, RaulDasgupta, DipankarDeb, SuashDeb, KalyanmoyDenton, AnneDeschenes, AlainDixon, PhilipDorman, KarinDraghici, SorinDua, SumeetEberbach, EugeneEmbrechts, MarkEppstein, MargaretFalkenauer, EmanuelFeng, ZenyFloares, AlexandruFogel, GaryFoster, James,Friedrich, Christoph, M.Garzon, MaxGu, XunHabas, PiotrHaddow, PaulineHalgamuge, Saman

Hallinan, JenniferHamel, LutzHammer, BarbaraHecht, DavidHendriks, AndrewHoward, DanielHuang, De-ShuangHuellermeier, EykeIba, HitoshiIfeachor, EmmanuelIgel, ChristianJacob, ChristianJin, BoJourdan, LaetitiaJuedes, DavidJust, WinfriedKasabov, NikKasprzak, MartaKeedwell, EdKeller, JamesKnowles, JoshKon, MarkKremer, Stefan C.Lacso, RonildaLisboa, PauloLiu, TianmingLones, Michael

Lozano, Jose A.Lukens, LewisMa, JianminMarchiori, ElenaMasulli, FrancescoMcCall, JohnMcNicholas, Paul D.Mitra, SushmitaMitra, SunandaMoore, JasonNettelton, DanNgom, AliouneNguyen, MinhNoumeir, RitaObradovic, ZoranOja, MerjaPaoli, SilvanoPark, ChanhoParmee, IanPatrick, JonPena-Reyes, CarlosPeterson, LeifPeterson, DavidPetrovski, AndreiPopescu, MihailPridgeon, CareyRadivojac, Predrag

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Rajapakse, JagathReczko, MartinRocha, MiguelRowland, JemSato-Ilic, MikaSchlief, Frank-MichealSchonfeld, JustinSeker, HuseyinSipper, MosheSmith, Jennifer A.Speer, Nora

Spieth, ChristianStoffer, DeborahStrancar, JanezSuganthan, Ponnuthurai NSzachniuk, MartaSzustakowski, JosephTagliaferri, RobertoTalbi, El-ghazaliTang, JinshanTeuscher, ChristofTimmis, Jon

Tramontano, AnnaTsang, Herbert H.Tyrrell, AndyVillmann, ThomasVinterbo, StaalVohradsky, JiriVolkert, Gwennvon Konigslow, TaikaWahde, MattiasWang, HaixinWatts, Mike Weber, Lutz

Wiese, Kay C.Wiles, JanetWipat, AnilWunsch, DonaldYao, XinZauner, Klaus-PeterZhang, Byoung-TakZhang, YanqingZitzler, Eckart

Reviewers

Sheridan HoughtenMeng HuKwang Baek KimFrancesco MasulliDaniel AshlockMartine De CockWendy AshlockMark ElshawRuben ArmananzasNicolas LomenieNicholas FlannStan GotshallMiguel RochaJoseph Alexander BrownGeorgy SofronovSergi Bermudez i BadiaRohitash ChandraIsaam SaeedFengyu Cong

Sushmita MitraRichard MoussaSergio DecherchiAndrzej PietrzykowskiHongwei MaoMahmut UludagYang YangEmad AndrewsFederico DivinaAlexandru FloaresLaurence AmaralJonathan ChanDurga Bhavani SurampudiPaul KennedyBernd BruecknerJeff ThompsonMichael LonesPau-Choo (Julia) ChungAna Madevska Bogdanova

Fernando NinoSalman HalgamugeFrancesco Carlo MorabitoWendy AshlockAntonio NemeTim BrysSteve CornsSansanee AuephanwiriyakulMichael LonesSongyot NakariyakulIsaac ChairezJin-kao HaoAlexandre PereraTsai-Rong ChangJung-Hsien ChiangJong Kyoung KimDurga Bhavani SurampudiGeorgy SofronovVasile Palade

Sansanee AuephanwiriyakulFrancesco MasulliDaniel AshlockMax GarzonNasimul NomanErgun GumusMyriam Regattieri DelgadoStan GotshallFrancesco PappalardoMartina HasenjaegerTerje KristensenFrank-Michael SchliefFernando NinoCamelia ChiraImhoi KooPaul KennedyAndreas Albrecht

Keynote: Interpretability in Computational IntelligenceBy Dr. Paulo Lisboa Chair:Date/Time: 2.30 – 3.30, Tue. 16 April 2013 Venue: Lyrebird, Level 3

Keynote: Pattern Recognition Methods for Biomolecular Data AnalysisBy Prof. Hong Yan Chair:Date/Time: 3.30 – 4.30, Wed. 17 April 2013 Venue: Galleria Ballroom, Level 3

Keynote: Knowledge-based Systems in Immunology: Data Mining of Vaccine Targets from Viral PathogensBy Dr. Vladimir Brusic Chair:Date/Time: 8.30 – 9.30, Thu 18 April 2013 Venue: Galleria Ballroom, Level 3

Session: Protein Structure and InteractionChair: Yin-Fu Huang Co-Chair: Shinn-Ying HoDate/Time: 13.40 – 15.20, Tue. April 2013 Venue: Falcon Level 3

SS-0152 A New Hybrid Probability-Based Method for Identifying Proteins and Protein Modifications—Penghao Wangand Susan R. Wilson

SS-0180 Protein Secondary Structure Prediction Based on Physicochemical Features and PSSM by SVM—Yin-Fu Huang and Shu-Ying Chen

SS-0272 The Impact of SignalP 4.0 on the Prediction of Secreted Proteins—Hind Melhem, Xiang Jia Min and Greg Butler

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SS-0699 Predicting Protein Crystallization Using a Simple Scoring Card Method—Watshara Shoombuatong,Phasit Charoenkwan, Hui-Ling Huang, Hua-Chin Lee, Jeerayut Chaijaruwanich and Shinn-Ying Ho

SS-0389 Intellectual Property Protection for Bioinformatics and Computational Intelligence—Dennis Fernandez,Antonia Maninang and Shumpei Kobayashi

Session: Sequence Structure and AnalysisChair: Clare Bates Congdon Co-Chair:Date/Time: 15.50 – 17.30, Tue. April 2013 Venue: Falcon Level 3

SS-0107 Managing Memory and Reducing I/O Cost for Correlation Matrix Calculation in Bioinformatics—Anaththa P. D. Krishnajith, Wayne Kelly, Ross Hayward and Yu-Chu Tian

SS-0463 NSC-GA: Search for Optimal Shrinkage Thresholds for Nearest Shrunken Centroid—Vinh Quoc Dang,Chiou-Peng Lam and Chang Su Lee

SS-0698 A Study on the Effect of Different Thermodynamic Models for Predicting Pseudoknotted RNA SecondaryStructures—Peter Grypma, Jonathan Babbitt and Herbert H. Tsang

SS-0710 An Exploration into Improving DNA Motif Inference by Looking for Highly Conserved CoreRegions—Jeffrey A. Thompson and Clare Bates Congdon

SS-0957 Detecting Epistasis in the Presence of Linkage Disequilibrium: A Focused Comparison—Zina M. Ibrahim,Stephen Newhouse and Richard Dobson

Session: Computational Intelligence in Genetic Regulatory NetworkChair: Alioune Ngom Co-Chair: Jie ZhengDate/Time: 8.30 – 10.10, Wed. 17 April 2013 Venue: Falcon Level 3

SS-0231 Machine Learning Based Search Space Optimisation for Drug Discovery—Upul Senanayake, Rahal Prabuddhaand Roshan Ragel

SS-0590 Integrating Epigenetic Prior in Dynamic Bayesian Network for Gene Regulatory Network Inference—Haifen Chen, D. A. K. Maduranga, Piyushkumar A Mundra and Jie Zheng

SS-0888 The Max-Min High-Order Dynamic Bayesian Network Learning for Identifying Gene Regulatory Networksfrom Time-Series Microarray Data—Yifeng Li and Alioune Ngom

SS-0738 Early Lung Cancer Detection Using Nucleus Segementation Based Features—Kesav Kancherlaand Srinivas Mukkamala

Session: Systems BiologyChair: Man-Leung Wong Co-Chair: Huiru ZhengDate/Time: 13.40 – 15.20, Wed. 17 April 2013 Venue: Falcon Level 3

SS-0094 A Hybrid Colony Fuzzy System for Analyzing Diabetes Microarray Data—P. Ganesh Kumar,S. Arul Antran Vijay and D. Devaraj

SS-0198 Intervention in Biological Phenomena Using Fuzzy Systems—Hazem N. Nounou, Mohamed N. Nounou,Nader Meskin and Aniruddha Datta

SS-0331 Reverse Engineering of Gene Regulation Models from Multi-Condition Experiments—Noel Kennedy,Alexandru Mizeranschi, Paul Thompson, Huiru Zheng and Werner Dubitzky

SS-0028 Genetic Algorithm for Dimer-led and Error-Restricted Spaced Motif Discovery—Tak-Ming Chan,Leung-Yau Lo, Man-Leung Wong, Yong Liang and Kwong-Sak Leung

SS-0914 Integrated Analysis of Gene Expression and Genome-Wide DNA Methylation for Tumor Prediction: AnAssociation Rule Mining-Based Approach—Saurav Mallik, Anirban Mukhopadhyay, Ujjwal Maulik andSanghamitra Bandyopadhyay

Session: Computational BioinformaticsChair: Man-Leung Wong Co-Chair: Lusheng WangDate/Time: 10.40 – 12.20, Thu. 17 April 2013 Venue: Falcon Level 3

SS-0425 Identifying Duplications and Lateral Gene Transfers Simultaneously and Rapidly—Zhi-Zhong Chen, Fei Dengand Lusheng Wang

SS-0436 GAknot: RNA Secondary Structures Prediction with Pseudoknots Using Genetic Algorithm—Kwok-Kit Tong,Kwan-Yau Cheung, Kin-Hong Lee and Kwong-Sak Leung

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SS-0715 Minimal-Redundancy-Maximal-Relevance Feature Selection Using Different Relevance Measures for OmicsData Classification—Junshan Yang, Zexuan Zhu, Shan He and Zhen Ji

SS-0657 Classifying Protein Interaction Type with Associative Patterns—Huang-Cheng Kuo and Ping-Lin OngSS-0909 RIPGA: RNA-RNA Interaction Prediction Using Genetic Algorithm—Kwan-Yau Cheung, Kwok-Kit Tong,

Kin-Hong Lee and Kwong-Sak Leung

Session: Interpretable Models for Bioinformatics and BiosignalsChair: Vladimir A. Kuznetsov Co-Chair: Yu-Li LiuDate/Time: 13.40 – 15.20, Thu. 17 April 2013 Venue: Falcon Level 3

SS-0297 Comparing Multiple Testing Correction Methods Between Two Softwares for Single NucleotidePolymorphisms Association Analyses – Using OPRD1 and Diastolic Blood Pressure in MethadoneMaintenance Patients as an Example—Yao-Sheng Chang, Hsiao-Huei Tsou, Sheng-Chang Wang, Chiu-Ping Fang,Yu-Li Liu and Ing-Kang Ho

SS-0298 Capturing Hydrophobic Moment Using Spectral Coherence for Protein Secondary StructurePrediction—Pradeep Chowriappa and Sumeet Dua

SS-0684 More Multiple Worlds Evolution for Motif Discovery—Joseph Alexander BrownSS-0881 How to Discriminate Between Potentially Novel and Considered Biomarkers Within Molecular

Signature?—Ghim Siong Ow, Piroon Jenjaroenpun, Jean Paul Thiery and Vladimir A. KuznetsovSS-0917 A Multimodal Approach to Analysis of Steady State Visually Evoked Potentials—Nikhil Vij, Wu Zuobin,

Malin Björnsdotter, Justin Dauwels and François Benoît Vialatte

Session: Medical InformaticsChair: Victor Lee Co-Chair: Xia FeiDate/Time: 15.50 – 17.30, Thu. 17 April 2013 Venue: Falcon Level 3

SS-0166 Analysis of MRI-Based Cortical Surface Structure Complexity in Dementia by Sample Entropy—Ying Chenand Tuan D. Pham

SS-0346 Prediction of Anti-EGFR Drug Resistance Base on Binding Free Energy and Hydrogen BondAnalysis—Weiqiang Zhou, Debby D. Wang, Hong Yan, Maria Wong and Victor Lee


SS-0836 Critical Junction: Nonlinear Dynamics, Swarm Intelligence and Cancer Research—Simon RosenfeldSS-0904 Mapping of DNA Sequences Using Hidden Markov Model Self Organizing Maps—Hiroshi Dozono

and Gen NiinaSS-0496 Segmentation of Mitochondria in Intracellular Space—Nhan Nguyen-Thanh, Tuan D. Pham

and Kazuhisha IchikawaSS-0630 A Particle Swarm Optimization Solution for Challenging Planted (l, d)-Motif Problem—U. Srinivasulu Reddy,

Michael Arock and A. V. ReddySS-0725 Designing Predictors of Halophilic and Non-Halophilic Proteins Using Support Vector Machines—

Hui-Ling Huang, Phasit Charoenkwan, Yerukala Sathipati Srinivasulu, Hua-Chin Lee and Shinn-Ying Ho

Posters Date/Time: 13.40 – 15.20, Thu. 17 April 2013

SS-0096 PUPPI: A Pathway Analysis Method Using Protein-Protein Interaction Network for Case-ControlData—Ren-Hua Chung

SS-0832 Accelerating Protein Tertiary Structure Analysis Based on FPGA—Shen Quanhua, Xia Fei and Zhu Qianghua

IEEE Symposium on Computational Intelligence in Biometrics and IdentityManagement (IEEE CIBIM 2013)

Biometrics is an emerging technology that has been used to enhance security-related applications such as access control,identity verification, and information security. In recent years, more and more government agencies and private companies

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are turning to biometric technologies to deal with the increasing security issues. Computational intelligence (CI), primarilybased on neural networks (NN), fuzzy systems (FS), evolutionary computation (EC), etc., is a suitable approach for solvingchallenging real-world biometric problems. The objective of this symposium is to bring researchers from academia andindustry together to exchange the latest theoretical and experimental results in the field.

CIBIM 2013 is the third IEEE International Workshop/Symposium on Computational Intelligence in Biometrics and Iden-tity Management. The topics to be covered this year reflect the depth and breadth of the current research effort and range ofapplications. The event will provide the attendees a valuable opportunity to meet professional colleagues and old friends ona personal level as well as to share ideas with associates in academia and industry. We hope every participant will find thesymposium enjoyable and professionally rewarding. Finally, we would like to thank all of those people and organizationsthat have worked so hard to organize this symposium and bring us all together.

Co-Chair(s)David ZhangHong Kong Polytechnic Univer-sity, China

Qinghan XiaoDefence R&D Canada - Ottawa, Canada

Fabio ScottiUniversity of Milan, Italy

Program Committee

Zahid Akhtar, University of Cagliari, ItalyHervé Chabanne, Morpho & Télécom ParisTech, FranceKe Chen, University of Manchester, UKGerry Vernon Dozier, North Carolina A&T StateUniversity, USAEliza Du, Indiana University-Purdue UniversityIndianapolis, USAJianjiang Feng, Tsinghua University, ChinaEric Granger, école de technologie supérieure, Montreal, CanadaRobert Ives, United States Naval Academy, USAKevin Jia, IGT, USAAdams Wai-Kin Kong, Nanyang University, SingaporeWenxin Li, Peking University, China

Evangelia Micheli-Tzanakou, Rutgers University, USA

Hugo Proença, University of Beira Interior, Portugal

Seref Sagiroglu, Gazi University, Ankara, Turkey

Mario Savastano, National Research Council of Italy

Jie Tian, Chinese Academy of Sciences, China

Jeffrey Voas, Science Applications InternationalCorporation, USA

Jia-Ching Wang, National Cheng Kung University, Tainan, Taiwan

Lidong Wang, Mississippi Valley State University, USA

Yong Xu, Harbin Institute of Technology, China

Xin Yang, Chinese Academy of Sciences, China

Svetlana N. Yanushkevich, University of Calgary, Alberta, Canada

Keynote: Discriminant Non-negative Matrix Factorization for Facial Image AnalysisBy I. Pitas Chair: Kar-Ann TohDate/Time: 11.30 – 12.30, Tue. 16 April 2013 Venue: Lyrebird, Level 3

Session: Biometric Data Processing and ClassificationChair: Nedumaran Damodaran Co-Chair: Gil SantosDate/Time: 8.30 – 10.10, Tue. 16 April 2013 Venue: Canary II Level 4

SS-0328 Development of Image Enhancement Algorithm for Fingerprint Images in TMS320C6416 DSK—M. Selva Kumar and D. Nedumaran

SS-0221 Person Identification from Actions Based on Artificial Neural Networks—Alexandros Iosifidis, Anastasios Tefasand Ioannis Pitas

SS-0874 Periocular Biometrics: An Emerging Technology for Unconstrained Scenarios—Gil Santos and Hugo Proença

Session: Novel Applications of CI to Biometric ProblemsChair: Ioannis Pitas Co-Chair: Ruggero Donida LabatiDate/Time: 13.40 – 15.20, Tue. 16 April 2013 Venue: Canary II Level 4

SS-1006 Contactless Fingerprint Recognition: A Neural Approach for Perspective and Rotation EffectsReduction—Ruggero Donida Labati, Angelo Genovese, Vincenzo Piuri and Fabio Scotti

SS-0685 Exploiting Clustering and Stereo Information in Label Propagation on Facial Images—Olga Zoidi,Nikos Nikolaidis and Ioannis Pitas

SS-0606 Genetic Heuristic Development: Feature Selection for Author Identification—Joshua Adams, Henry Williams,Joi Carter and Gerry Dozier

SS-0847 Fly Wing Biometrics – Using Genetic & Evolutionary Feature Extraction—Michael Payne, Jonathan Turner,Joseph Shelton, Joshua Adams, Joi Carter, Henry Williams, Caresse Hansen, Ian Dworkin and Gerry Dozier

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SS-0420 Gait Classification of Twins and Non-Twins Siblings—Wan-Noorshahida Mohd-Isa, Junaidi Abdullah andChikkanan Eswaran

Session: Facial RecognitionChair: Kailash J. Karande Co-Chair: Jian-Gang WangDate/Time: 15.50 – 17.30, Tue. 16 April 2013 Venue: Canary II Level 4

SS-0249 Estimating In-Plane Rotation Angle for Face Images from Multi-Poses—Seyed Mohammad Hassan Anvar,Wei-Yun Yau, Karthik Nandakumar and Eam Khwang Teoh

SS-0168 Real-Time Beard Detection by Combining Image Decolorization and Texture Detection with Applications toFacial Gender Recognition—Jian-Gang Wang and Wei-Yun Yau

SS-0225 Localized Spatiotemporal Modular ICA for Face Recognition—Kailash J. Karande

SS-0548 Face Identity Verification Based on Sinusoidal Projection—Beom-Seok Oh and Kar-Ann Toh

SS-0806 Facial Expressions: Discriminability of Facial Regions and Relationship to Biometrics Recognition—Elisa Barroso, Gil Santos and Hugo Proença

IEEE Symposium on CI for Creativity and Affective Computing (IEEE CICAC 2013)

Computational intelligence (CI) techniques, including neural network, fuzzy systems, and evolutionary computation, haveshown to be effective for search and optimization problems. Recently, CI gained several promising results and becomes animportant tool in Computational Creativity, such as in music, visual art, literature, architecture, and industrial design. Thegoal is to enhance autonomous creative systems as well as human creativity.

In addition, taking into account emotions (or more generally affects) is currently widely explored to improve the qualityof human-machine interaction and to ease the communication with users or potential customers. Affective or emotionalcomputing covers a wide range of issues, challenges and approaches, both for emotion simulation (in particular for newgenerations of intelligent agents), emotion elicitation, expression and recognition. The latter is declined along several typesof modalities and media data, such as physiological signals, facial expressions, speech, text, images and video. Each of thesemodalities and media raises specific requirements.

Thus, affective computing raises new challenges for computational intelligence, regarding e.g. computational represen-tations of emotions and affective states, on the basis of psychological models, the architecture of systems modeling andprocessing these concepts as well as dedicated machine learning techniques appropriate to deal with the specificity of therelated data.

The 2013 Workshop on Computational Intelligence for Computational Creativity and Affective Computing reflects themost recent advances in the various disciplines contributing to the domain, offering an overview on the current state of theart on this challenging and fast developping field.

Co-Chair(s)Chuan-Kang Ting, National Chung Cheng University, Taiwan Marie – Jeanne Lesot, LIP6 – UPMC, FranceFrancisco Fernández de Vega, University of Extremadura,Spain

Jean-Claude Martin, LIMSI, France

Palle Dahlstedt, University of Gothenburg, Sweden Maria Rifqi, LIP6 – Paris II, France

Program Committee

Peter Bentley, University College London, UK

Jonathan Chan, King Mongkut’s University ofTechnology Thonburi, Thailand

Roberto De Prisco, Universitàdi Salerno, Italy

Alan Dorin, Monash University, Australia

Carlos Fernandes, Technical University of Lisbon,Portugal

Yaochu Jin, University of Surrey, UK

Anna Jordanous, King’s College London, UK

Oliver Kramer, Carl von Ossietzky Universität, Germany

Ruli Manurung, University of Indonesia, Indonesia

Jon McCormack, Monash University, Australia

James McDermott, Massachusetts Institute ofTechnology, USA

Eduardo Miranda, University of Plymouth, UK

Yew Soon Ong, Nanyang Technological University,Singapore

Somnuk Phon-Amnuaisuk, Universiti Tunku Abdul Rahman,Malaysia

Kevin Wong, Murdoch University, Australia

Thierry Artières, LIP6 - UPMC, France

Thierry Baccino, Université de Paris VIII, France

Gérard Bailly, GIPSA-lab, University of Grenoble, France

Christian Becker-Asano, Albert-Ludwigs-Universität Freiburg,Germany

Nadia Berthouze, University College London, UK

Ginevra Castellano, University of Birmingham, UK

Pau-Choo Julia Chung, Smile Lab, National Cheng Kung University,Taiwan

Jeff Cohn, University of Pittsburgh, USA

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Ernesto De Luca, Fachhochschule Potsdam, GermanyCelso de Melo, University of South California, USAMarcin Detyniecki, LIP6 - CNRS, FranceLaurence Devillers, University Paris-Sorbonne, FranceJean-Marc Fellous, University of Arizona, USAHani Hagras, University of Essex, UKRobert Houghton, University of Nottingham, UKEyke Hüllermeier, University of Marburg, GermanyArvid Kappas, Jacobs University Bremen, GermanyKostas Karpouzis, National Technical University of Athens, GreeceJim Keller, University of Missouri, USAChin-Teng Lin, National Chiao-Tung University,TaiwanChristine Lisetti, Florida International University, USARadoslaw Niewiadomski, Telecom Paris Tech, FranceMagalie Ochs, Telecom Paris Tech, FranceJean-Fran cis Omhover, Arts Et Metiers ParisTech, FranceJoseph Orero, Jomo Kenyatta University of Agriculture andTechnology, Kenya

Andrew Ortony, Northwestern University, USA

Helen Pain, University of Edinburgh, UK

Catherine Pelachaud, Telecom Paris Tech, France

Isabella Poggi, University Roma Tre, Italy

Thierry Pun, University of Geneva, Switzerland

Rainer Reisenzein, EMA University Greifswald,Germany

Peter Roelofsma, VUA University Amsterdam, The Netherlands

Nicolas Sabouret, LIMSI, France

Jean-Paul Sansonnet, LIMSI, France

Charles Tijus, University Paris VIII, France

Egon L van den Broek, University of Twente,The Netherlands

Christian Wagner, University of Nottingham, UK

Chung-Hsien Wu, National Cheng Kung University, Taiwan

Dongrui Wu, GE Global Research, USA

Georgios Yannakakis, IT University of Copenhagen, Denmark

Slawomir Zadrozny, Polish Academy of Sciences, Poland

Session: Computational Intelligence for Affective ComputingChair: Marie-Jeanne Lesot Co-Chair:Date/Time: 8.30 – 10.10, Thu. 18 April 2013 Venue: Falcon Level 3

SS-0153 A Component Based Approach for Classifying the Seven Universal Facial Expressions of Emotion—Kenny Hong, Stephan K. Chalup and Robert A. R. King

SS-0741 Robot Emotions Generated and Modulated by Visual Features of the Environment—Aaron S. W. Wong,Steven Nicklin, Kenny Hong, Stephan K. Chalup and Peter Walla

SS-0768 The Role of Reinforcement in Affective Computation – Triggers, Actions and Feelings—Robert Loweand Tom Ziemke

SS-0844 A Framework for Computing Crowd Emotions Using Agent Based Modeling—Mihail Popescu, James M. Kellerand Alina Zare

Session: Computational Intelligence for CreativityChair: Palle Dahlstedt Co-Chair: Chuan-Kang TingDate/Time: 15.50 – 17.30, Thu. 18 April 2013 Venue: Paradiso Level 3

SS-0990 Photo Rendering with Swarms: From Figurative to Abstract Pherogenic Imaging—Carlos M. Fernandes,Antonio Mora, Juan Julián Merelo, Carlos Cotta and Agostinho C. Rosa

SS-0332 A Computer-Aided System for Narrative Creation – Pictures and Attributed-Notes for Storytelling—Yun-Tai Chang, Sheng-Chih Chen and Tsai-Yen Li

SS-0500 FuX, an Android App that Generates Counterpoint—Dorien Herremans and Kenneth Sörensen

SS-0674 An Interactive Approach to Story Characterization—Malik Nairat, Palle Dahlstedt and Mats G. Nordahl

SS-0920 Evolutionary Composition Using Music Theory and Charts—Chien-Hung Liu and Chuan-Kang Ting

Session:Chair: Co-Chair:Date/Time: 8.30 – 10.10, Fri. 18 April 2013 Venue: Falcon Level 3

SS-0347 An Intuitive Computer Animation System for Enhancing Human Creativity—Natapon Pantuwong andMasanori Sugimoto

SS-0757 Scene Perception Using Pareidolia of Faces and Expressions of Emotion—Kenny Hong, Stephan K. Chalup,Robert A. R. King and Michael J. Ostwald

SS-0931 Artificial Companions with Personality and Social Role – Expectations from Users and Impact on the Designof Groups of Companions—C. Clavel, C. Faur, J. -C. Martin, S. Pesty and D. Duhaut

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IEEE Symposium on Computational Intelligence in Control and Automation(IEEE CICA 2013)

IEEE CICA 2013 is the third IEEE Symposium on Computational Intelligence in Control and AutomationI would like to takethis opportunity to thank the organisation Committee of SSCI2013, all the authors, the members of the program committeeand the reviewers. It is your contributions and efforts that make this symposium possible.

The purpose of IEEE CICA 2013 is to bring together researchers, engineers, practitioners, and students from around theworld to discuss the latest advances in the theory and application of computational intelligence in control and automation.It is very glad to see the symposium has received many new research results from various topics and applications of Com-putational Intelligence in Control and Automation, including new theories and methods of Fault Detection and Diagnosis,Fuzzy Systems and Control, System Identification and Modelling, Evolutionary Computation in Control and Automation,Adaptive Control, and Applications of CI to Control and Automation.

Symposium Chair Xiao-Jun ZengUniversity of Manchester, UK

Program Committee

Ivo Bukovsky, Czech RepublicOscar Castillo, MexicoYuehui Chen, ChinaJoao Miguel da Costa Sousa,Portugal

Mariagrazia Dotoli, ItalyMeng Joo Er, SingaporeJohn Q. Gan, U.K.Kevin Guelton, FranceHaibo He, USA

Hak-Keung Lam, U.K.Fusaomi Nagata, JapanYing Tan, AustraliaTan Woei Wan, SingaporeDi Wang, Department, U.K.

Hua-Liang Wei, U.K.

Hao Ying, USA

Wen Yu, Mexico

Tiejun Zhang, USA

Keynote: Type-2 Fuzzy Control vs Type-1 Fuzzy Control: An Analytical PerspectiveBy Prof. Hao Ying Chair: Sundaram SureshDate/Time: 15.30 –16.30 Thu. 18 April 2013 Venue: Galleria Ballroom, Level 3

Session: Fault Detection and DiagnosisChair: Kash Khorasani Co-Chair: Fouzi HarrouDate/Time: 10.40 – 12.20, Thu. 18 April 2013 Venue: Swallow Level 3

SS-0164 Enhanced Monitoring Using PCA-Based GLR Fault Detection and Multiscale Filtering—Fouzi Harrou,Mohamed N. Nounou and Hazem N. Nounou

SS-0165 A Robust Fault Detection Scheme with an Application to Mobile Robots by Using Adaptive ThresholdsGenerated with Locally Linear Models—Farzad Baghernezhad and K. Khorasani

SS-0536 Fault Diagnosis of Induction Motor Using CWT and Rough-Set Theory—Pratyay Konar, Moumita Saha, Jaya Siland Paramita Chattopadhyay

SS-0545 A New Eye Gaze Detection Algorithm Using PCA Features and Recurrent Neural Networks—Thai-Hoang Huynh

SS-0489 Path Planning of a Data Mule in Wireless Sensor Network Using an Improved Implementation ofClustering-Based Genetic Algorithm—Jing-Sin Liu, Shao-You Wu and Ko-Ming Chiu

Session: Fuzzy Systems and ControlChair: Sendren Sheng-Dong Xu Co-Chair: Chian-Song ChiuDate/Time: 13.40 – 15.20, Thu. 18 April 2013 Venue: Swallow Level 3

SS-0190 Study on a Combined Scheme by Using T-S Fuzzy and TSMC Approaches—Sendren Sheng-Dong Xu,Yew-Wen Liang, Kuo-Chin Wang, Chih-Chiang Chen and Yi-Hsiang Cheng

SS-0212 Robust Output Feedback Control of T-S Fuzzy Time-Delay Systems—Chian-Song Chiu, Wen-Tsung Yang andTung-Sheng Chiang

SS-0322 Output Tracking of Fractional-Order Nonlinear Systems Via TS-FCMAC—Tung-Sheng Chiangand Chian-Song Chiu

SS-0499 Optimization of Fuzzy Logic Controllers with Rule Base Size Reduction Using Genetic Algorithms—Pintu Chandra Shill, Yoichiro Maeda and Kazuyuki Murase

SS-0746 Local Stability and Stabilization of Discrete-Time Takagi–Sugeno Fuzzy Systems Using Bounded VariationRates of the Membership Functions—Dong Hwan Lee

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Session: System Identification and ModellingChair: Hazem Nounou Co-Chair: Muddu MadakyaruDate/Time: 8.30 – 10.10, Fri. 19 April 2013 Venue: Swallow Level 3

SS-0163 Fault Detection Using Principal Component Analysis and GLR Hypothesis Testing—Fouzi Harrou,Mohamed N. Nounou and Hazem N. Nounou

SS-0319 Enhanced Modeling of Distillation Columns Using Integrated Multiscale Latent Variable Regression—Muddu Madakyaru, Mohamed N. Nounou and Hazem N. Nounou

SS-0320 Nonlinear Latent Variable Regression—Muddu Madakyaru, Mohamed N. Nounou and Hazem N. Nounou

SS-0453 Modeling and Analyzing Technical Systems as Complex Networks: Detecting Inverse Response—Andreas Geiger and Andreas Kroll

SS-0608 Mobile Augmented Reality Based Interactive Teaching & Learning System with Low ComputationApproach—Shitala Prasasd, Sateesh K. Peddoju and Debashis Ghosh

Session: Evolutionary Computation in Control and AutomationChair: Ehab Bayoumi Co-Chair: Sendren Sheng-Dong XuDate/Time: 10.40 – 12.20, Fri. 19 April 2013 Venue: Swallow Level 3

SS-0098 Optimal Formation of Robots by Convex Hull and Particle Swarm Optimization—Jun Liu, Hongbin Ma,Xuemei Ren and Mengyin Fu

SS-0203 Minimal Overshoot Direct Torque Control for Permanent Magnet Synchronous Motors Using HybridBacteria Foraging-Particle Swarm Optimization—Ehab H. E. Bayoumi

SS-0336 Fixed-Order H∞ Loop-Shaping Synthesis: A Time Domain Approach—Philippe Feyel, Gilles Duc andGuillaume Sandou

SS-0354 An Effective Shuffled Frog-Leaping Algorithm for the Flexible Job-Shop Scheduling Problem—Ye Xu,Ling Wang and Shengyao Wang

Session: Adaptive Control with ApplicationsChair: Jayantha Katupitiya Co-Chair: Ramaiah SubasriDate/Time: 13.40 – 15.20, Fri. 19 April 2013 Venue: Swallow Level 3

SS-0139 Adaptive Control and Synchronization of a Class of Chaotic Systems in Which All Parameters areUnknown—Chyun-Chau Fuh and Hsun-Heng Tsai

SS-0199 Application of Delay-Dependent Adaptive Control to a Continuous Stirred Tank Reactor—Hazem N. Nounouand Mohamed N. Nounou

SS-0258 Discrete Direct Adaptive ELM Controller for Seismically Excited Non-Linear Base-Isolated Buildings—R. Subasri, A. M. Natarajan and S. Suresh

SS-0516 Modelling of a 4WS4WD Vehicle and Its Control for Path Tracking—Michael R. Woods and Jay Katupitiya

Session: Applications of CI to Control and AutomationChair: Ramaiah Subasri Co-Chair: Muhammad MysorewalaDate/Time: 15.50 – 17.30, Fri. 19 April 2013 Venue: Swallow Level 3

SS-0018 Temperature Optimal Control of the Casting Billet Induction Heating Process Based on the BP PredictionModel—Xu Zhe and Pan Sanqiang

SS-0423 Design and Implementation of Fuzzy-Logic Based Obstacle-Avoidance and Target-Reaching Algorithms onNI’s Embedded-FPGA Robotic Platform—Muhammad Mysorewala, Khaled Alshehri, Eyad Alkhayat,Adnan Al-Ghusain and Omar Al-Yagoub

SS-0580 Novel Dual Demand Side Management (2DSM) Scheme in Optimizing Utilization of AvailablePower—Muhammad Gary Shafer, Kamalrulnizam Abu Bakar and Farah Ramadhani

SS-0610 Computational Intelligence and Low Cost Sensors in Biomass Combustion Process—Ján PiteI’ and Jozef Mižák


SS-0522 Intention Estimation Using Time-Varying Fuzzy Markov Models—Peter Liu and Chang-En Yang

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SS-0356 A Continuous-Time Recurrent Neural Network for Real-Time Support Vector Regression—Qingshan Liu andYan Zhao

Posters Date/Time: 13.40 – 15.20, Fri. 19 April 2013

SS-0065 Study on Distributed Internal Synchronization in a LAN Network—Lei Yang, Hu Lin and Liaomo Zheng

SS-0858 Neural Approach for Estimation of Global Energetic Efficiency Indicator in Water Extration Systems—Ivan N.da Silva, José Ângelo Cagnon and Nilton José Saggioro

SS-0676 Smart 3D Pointing Device Based on MEMS Sensor and Bluetooth Low Energy—Kamil Židek and Ján Pitel’

IEEE Symposium on Computational Intelligence in Healthcare and e-Health(IEEE CICARE 2013)

IEEE CICARE 2013 is the first Symposium of its kind, and will bring together leading research and clinical scientists, engi-neers, practitioners, technology and solution providers in healthcare and e-health from around the world to discuss latestadvances in the field of computational intelligence applied to solving the growing scale and complexity of problems inthese inter-disciplinary domains. This symposium will provide a forum for the presentation of recent results in the theoryand practice of computational intelligence in healthcare and e-health systems and services, and there will also be Paneldiscussions to outline future research directions and challenges.

IEEE CICARE 2013 is being held as part of the IEEE Symposium Series on Computational Intelligence (SSCI’2013), Sin-gapore, 15 – 19 April 2013. IEEE SSCI 2013 is one of the two flagship biennial international events sponsored by the IEEEComputational Intelligence Society (IEEE CIS) promoting all aspects of the theory and applications of computational intelli-gence. The IEEE SSCI co-locates several technical meetings at one location. This event attracts top researchers, professionals,and students from around the world. More details on: http://www.ntu.edu.sg/home/epnsugan/index_files/SSCI2013/

Symposium Chair(s) Amir HussainSchool of Natural Sciences, University of Stirling, Scotland, E-mail: [email protected]

Symposium Co-Chair(s) Calum MacRaeHarvard Medical School, Boston

Honorary Chair Warner SlackClinical Informatics Division, Harvard Medical School, Boston, USA

Symposium Secretary Kamran FarooqUniversity of Stirling, Scotland, UK

International Programme Committee

Stephen Leslie, Raigmore Hospital, Inverness, Scotland

Amir Shah, University Hospital Crosshouse,Kilmarnock, Scotland

Aman Shams, Edinburgh Royal Infirmary, UK

Matt-Mouley Bouamrane, Wolson Medical School, University ofGlasgow, Scotland

Muaz Niazi, Bahria University, Pakistan

Azzam Taktak, The Royal Liverpool UniversityHospital, UK

Mohamed Chetouani, University of Pierre Marie-Curie, France

Vassilis Cutsuridis, King’s College, London, UK

Anna Esposito, University of Naples, Italy

Marcos Faundez-Zanuy, Escola University-Politecnic Mataro, Spain

Erik Cambria, NUS, Singapore

Chris Eckl, Sitekit Solutions Ltd.

Campbell Grant, Sitekit Solutions Ltd.

Tingwen Huang, Texas A&M University at Qatar

Zdenek Smekal, Brno University of Technology, Czech Republic

Stefano Squartini, Ancona University, Italy

Sophia Ananiadou, University of Manchester, UK

Irfan Faridoon,

William Buchanan, Napier University

Vladimir Bajic, KAUST, Saudi Arabia

Junichi Tsujii, Microsoft Asia, Beijing

Frances Mair, University of Glasgow

Hollis Kowaloff, Beth Israel Clinical Informatics, USA

Marjorie Skubic, University of Missouri, Columbia, USA

Eric Chang, Microsoft Asia, Beijing

Amir Atiya, Cairo University, Egypt

Ricardo Imbert, University of Madrid, Spain

Fabio Augusto Gonzalez Osorio, National University of Colombia

Matthew Bailey, BHF Centre for CardiovascularScience, University of Edinburgh

Jozsef Farkas, University of Stirling, Scotland, UK

Kaizhu Huang, Institute of Automation, Chinese Academy of Sciences,Beijing, China

Aziz Sheikh, Centre of Population Health Sciences,University of Edinburgh

Kang Li, Queen’s University, Belfast

M. A. Rajak, Ucare Foundation, Glasgow

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Keynote: Big Data and Clinical Decision Support SystemsBy Prof. Henrique Martins Chair:Date/Time: 9.30 – 10.30, Tue. 16 April 2013 Venue: Galleria Ballroom, Level 3

Keynote: Computational Intelligence in (e)Healthcare: Challenges and OpportunitiesBy Prof. Amir Hussain Chair: Herrique MartinsDate/Time: 9.30 – 10.30, Wed. 17 April 2013 Venue: Galleria Ballroom, Level 3

Session: e-Health’s Applications in HealthcareChair: Margaret Thorogood Co-Chair: Vong JohnDate/Time: 10.40 – 12.20, Tue. 16 April Venue: Oriole Level 4

SS-0802 Personalized Health Care System with Virtual Reality Rehabilitation and Appropriate Information forSeniors—Mohammed Alanbari, Diego Gachet Páez, Manuel de Buenaga and Beatriz Peña Martnez

SS-0897 Profiling Bell’s Palsy Based on House-Brackmann Score—Insu Song, Nguwi Yok Yen, John Vong,Joahchim Diederich and Peter Yellowlees

SS-0697 A Cloud-Based Fuzzy System for the Risk Assessment of Coronary Heart Disease—Ruey Kei Chiu,Sheng Jen Jian and Yeh Chuan Chen

SS-0077 A Comparison of Artificial Neural Network, Latent Class Analysis and Logistic Regression for Determiningwhich Patients Benefit from a Cognitive Behavioural Approach to Treatment for Non-Specific Low BackPain—Martine J. Barons, Nick Parsons, Frances Griffiths and Margaret Thorogood

Session: Medical Decision Support Systems in e-HealthChair: Amir Hussain Co-Chair: Marten van SinderenDate/Time: 13.40 – 15.20, Tue. 16 April Venue: Oriole Level 4

SS-0240 Modeling Traditional Chinese Medicine Doctor’s Diagnosis Based on the Multimodal Dataset withSubjectivity—Ying Dai

SS-0265 A Decision-Support Simulator for Improving Patient Flow and Increasing Capacity at an Eye OutpatientDepartment—C. K. Y. Lin

SS-1024 Efficient Clinical Decision Making by Learning from Missing Clinical Data—Kamran Farooq, Peipei Yang,Amir Hussain, Kaizhu Huang, Calum MacRae, Chris Eckl and Warner Slack

SS-0386 Semantic Interoperability in Sensor Applications – Making Sense of Sensor Data—Paul Brandt, Twan Basten,Sander Stuijk, Vinh Bui, Paul de Clercq, Luis Ferreira Pires and Marten van Sinderen

Session: Computationally Intelligent Methods for CNS Research & Its DisordersChair: Mufti Mahmud Co-Chair: Pawel RaifDate/Time: 10.40 – 12.20, Wed. 17 April 2013 Venue: Nightingale Level 4

SS-0470 Adapting Registration-Based-Segmentation for Efficient Segmentation of Thoracic 4D MRI—Yuxin Yang,Eric Van Reeth and Chueh Loo Poh

SS-0634 A Brain-Computer Interface Test-Bench Based on EEG Signals for Research and Student Training—PawełRaif,Mufti Mahmud, Amir Hussain, Aleksandra Klos-Witkowska and Renata Suchanek

SS-0102 On Cognitive Radio-Based Wireless Body Area Networks for Medical Applications—Aqeel Raza Syed andKok-Lim Alvin Yau

Session: Computational Intelligence in Health Assessment and MonitoringChair: Erik Cambria Co-Chair: Newton HowardDate/Time: 13.40 – 15.20, Wed. 17 April 2013 Venue: Nightingale Level 4

SS-0474 Patient Coordination in Emergency Departments Using Visualization of Operation Behavior—Kristofer Bengtsson and Bengt Lennartson

SS-0967 A System for Limb-Volume Measurement Using 3D Models from an Infrared Depth Sensor—Guannan Lu,G. N. DeSouza, Jane Armer, Blake Anderson and Chi-Ren Shyu

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SS-0313 Multiple-Pathway Modeling of Tumor Blood Flow for Dynamic Contrast-Enhanced Imaging—Wen Shi,Wee Ser and Tong San Koh

SS-0929 Evolving Classifiers to Inform Clinical Assessment of Parkinson’s Disease—Michael A. Lones, Jane E. Alty,Stuart E. Lacy, D. R. Stuart Jamieson, Kate L. Possin, Norbert Schuff and Stephen L. Smith

Session: Prospects and Applications of Computational Intelligence in e-HealthChair: Henrique Martins Co-Chair: Pawel RaifDate/Time: 15.50 – 17.30, Wed. 17 April 2013 Venue: Nightingale Level 4

SS-0081 Activity Pattern Mining Using Temporal Relationships in a Smart Home—Mohamed Tarik Moutacalli,Vincent Marmen, Abdenour Bouzouane and Bruno Bouchard

SS-0440 Healthcare System Design Focusing on Emotional Aspects Using AugmentedReality – Relaxed Service Design—Somchanok Tivatansakul and Michiko Ohkura

SS-0650 Wireless Sensor Networks in Application to Patients Health Monitoring—Stanislaw Rajba, Teresa Rajba,PawełRaif and Mufti Mahmud

SS-0558 Data Mining Supported Analysis of Medical Atomic Force Microscopy Images—Stephan Hutterer,Sandra Mayr, Gerald Zauner, Rene Silye and Kurt Schilcher

Posters Date/Time: 10.40 – 12.20 Tue. 16 April 2013

SS-0643 Development of Encoding and Dimensionality Reduction Algorithms for a Genomics Based MedicalDiagnostic Probe on Artificial Intelligence Platform—Emmanuel Adetiba, Frank A. Ibikunle and Ezekiel F. Adebiyi

IEEE Symposium on Computational Intelligence for Communication Systems andNetworks (IEEE CIComms 2013)

Computational Intelligence (CI) is arguably one of the most powerful approaches for the optimization and design of com-plex communication systems and networks in order to meet the requirements and need of new challenging applications. Inthis framework, nature-inspired computational methodologies based on Fuzzy Logic Systems, Neural Networks and Evo-lutionary Computation have been effectively applied as demonstrated by the significant increase in the number of researchpublications and conferences/meetings organized worldwide. The introduction of innovative designs and advanced tech-niques is fundamental to offer new capabilities to the next-generation services and applications.

Although the research on the CI applications has reached an impressive state, there are still many new research topics forthe applications of CI continually emerging, especially in communications and networking area such as antenna systems,microwave devices and technologies, signal processing, design of computer networks. This symposium aims at bringingresearchers and engineers from academia and industry together to report, interact and review the latest progress of CIapplications in communications and networking, to explore future directions of research and to publicize CI applications toa wider audience from diverse fields

Co-Chair(s) Sasitharan BalasubramaniamTelecommunication Software and Systems Group, Waterford Institute of Technology, Ireland.

Maode MaSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore.

Paolo RoccaDepartment of Information Engineering and Computer Science, University of Trento, Italy.

Program Committee

D. Botvich, IrelandT. Nakano, JapanK. Leibnitz, JapanY. Qin, ChinaD. Jena, IndiaH. Fu, USAO. B. Akan, TurkeyD. Malone, IrelandW. P. Cheah, Korea

R. Kibria, AustraliaD. Meddour, FranceD. He, ChinaA. Alphones, SingaporeR. Ahmed, BengladeshA. Massa, ItalyH. Guo, SingaporeB. Zarikoff, IrelandR. Langar, Canada

N. Bouabdallah, France

P. Lio, UK

R. Carroll, Ireland

J. Suzuki, USA

K. K. Wong, UK

H. Wang, China

Q. Ni, UK

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Reviewers

Alan DavyAndreas ConstantinidesAnuj PrakashBrad ZarikoffDavid Luengo-GarciaDavide Bacciu

Eleftherios KofidisErol GelenbeHabib DhahriHannes MuehleisenHasan Al-RawiHui Cheng

Julien MineraudJunichi SuzukiKenji LeibnitzKok-Lim YauLaurence T. YangLeandro Tortosa

Liming FanManjaiah D hMarjan Kuchaki RafsanjaniMichael FreyM. Fatih TasgetirenM. K. Tiwari

Norikazu TakahashiPaolo RoccaPedro CoelhoRabie RamadanRaghavendra KulkarniRaymond Carroll

Reinhard TeschlRiyad AlshammariSasitharan BalasubramaniamStepan IvanovSuzan BayhanSven Tomforde

Swagatam Das

Tadashi Nakano

Theodore Tsiligiridis

Vassilis Plagianakos

Veluchandhar Raajakandiyer

Vincenzo Loia

Vincenzo Piuri

Wieslaw Sienko

Yang Yu

Yi Shang

Ying Xu

Session: Computational Intelligence for CommunicationChair: Noboru Ito, [email protected] Co-Chair:Date/Time: 13.40 – 15.20, Fri. 19 April 2013 Venue: Kingfisher Level 4

SS-0019 Rotated-Cone-Programming Method for Designing Phase-Equalization System—Noboru Ito and Wei Qin

SS-0789 A New Meandering RFID Antenna Designed by Evolutionary Algorithm—Jizhi Chen, Meng Li, Sanyou Zeng,Xiaolei Liang and Yongshan Zhang

SS-0445 Using Ant Colony Optimization to Design GPON-FTTH Networks with Aggregating Equipment—Andrej Chu, Kin Fai Poon and Anis Ouali

SS-0109 Efficient Scheme for Load Balancing on Heterogeneous Biswapped Networks—Liting Sun and Chaonan Tong

SS-0114 Route Selection for Minimizing Interference to Primary Users in Cognitive Radio Networks: A ReinforcementLearning Approach—Hasan A. A. Al-Rawi and Kok-Lim Alvin Yau

Session: Computational Intelligence for NetworksChair: Geoff Nitschke Co-Chair: Nor Jaidi TuahDate/Time: 15.50 – 17.30, Fri. 19 April 2013 Venue: Kingfisher Level 4

SS-0680 Matching Objects to User’s Queries in Web of Things’ Applications—Wenyi Xu, Christophe Marsalaand Benoit Christophe

SS-0779 Solving the Base Station Placement Problem by Means of Swarm Intelligence—Marcos Talau, Emilio C. G. Willeand Heitor S. Lopes

SS-0872 Automated Network Application Classification: A Competitive Learning Approach—R. G. Gossand G. S. Nitschke

SS-0961 Multilevel Broadcast Recipient Maximization in IEEE 802.16j Using Ant Colony Optimization—Hao-Wen Chung and Chuan-Kang Ting

Posters Date/Time: 15.50-17.30, Thu, 18 April 2013

SS-1018 Fuzzy Based Room Temperature Control by Integrating Sensors and Cameras with a Grid—Seyed Mohamed Buhari, Nor Jaidi Tuah, Kim Onn Chong, Sei Guan Lim and Abd Ghani Naim


SS-0022 MIMO Receivers for SFBC SC-FDMA Communication Systems—Fang-Biau Ueng, Ye-Shun Shen,Jui-Chi Chang, Yu-Kuan Chang and Ming-Hsiao Hsu

SS-0772 Cost Effective Analysis of Web Based Transmission—Neil Williams, Kheng Cher Yeo and Sami Azam

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IEEE Symposium on Computational Intelligence in Cyber Security (IEEE CICS 2013)

Computational Intelligence constitutes an umbrella of techniques, has proven to be flexible in decision making in dynamicenvironment. These techniques typically include Fuzzy Logic, Evolutionary Computation, Intelligent Agent Systems, Neu-ral Networks, Cellular Automata, Artificial Immune Systems and other similar computational models. The use of thesetechniques allowed building robust decision support modules, providing cross-linking solutions to different cyber secu-rity applications. In particular, to protect Internet users from Identity Theft, Phishing, Spam and other cyber infrastructurethreats, we need flexible, adaptable and robust cyber defense systems, which can make intelligent decisions (in near real-time) in detecting wide variety of threats and attacks, including active and passive attacks, external attacks and internal mis-uses, known and unknown attacks, viruses and spam, etc. Computational Intelligent (CI) techniques appear to be promisingto enhance cyber security measures, and have been increasingly applied in the area of information security and informationassurance. Moreover, the multi-faceted CI approaches appear to provide a new security paradigm to deal with influx of newthreats in a large network of computers.

The research papers presented in CICS symposium include Access Control for Wireless Networks, Hybrid-NetworkIntrusion Detection System (H-NIDS) in Cloud Computing,Database Audit over Cloud Environment Using Forensic Anal-ysis Algorithm, Quantifying Encircling behavior in Complex Networks,Resilient Hybrid Overlay Model for Smart Grid,Malware Classification using Author Identification, Image Visualization based Malware Detection, Steganography, Audioencryption, Computational Intelligence for Static Software Checking Against Memory Corruption Vulnerabilities, etc.

Co-Chair(s)Dipankar Dasgupta, The University of Memphis, USA Justin Zhan, National Center of Infrastructure Protection, USAKumaraguru Ponnurangam, IIIT Delhi, India

Program Committee

Robert K. Abercrombie, Oak Ridge National Laboratory, USAGail-Joon Ahn, Arizona State University, USATansu Alpcan, Technical University at Berlin, GermanyNikolaos Bartzoudis, CTTC, Barcelona, SpainElisa Bertino, Purdue University, USAMarco Carvalho, Institute for Human and Machine Cognition, USANabendu Chaki, University of Calcutta, IndiaBogdan Czejdo, Fayetteville State University, USASon K. Dao, HRL Laboratories, LLC, CA, USASajal Das, University of Texas, Arlington, USAJosep Domingo-Ferrer, Rovira i Virgili University, SpainGerry V. Dozier, North Carolina A. T. State University, USAAnas Abou El Kalam, école Nationale Supérieure d’Ingénieur deBourges, FranceRichard Ford, Florida Institute of Technology, USASara Foresti, Università degli Studi di Milano, ItalyPadmavathi Ganapathi, Avinashilingam University, IndiaDebin Gao, Singapore Management University, SingaporeSolange Ghernaouti-Hélie, University of Lausanne, SwitzerlandMichael R. Grimaila, Air Force Institute of Technology, USADrew Hamilton, Auburn University, USATsan-Sheng Hsu, Academia Sinica, TaiwanMurat Kantarcioglu, University of Texas at Dallas, USAEngin Kirda, Institut Eurecom, FrancePonnurangam Kumaraguru, IIIT Delhi, IndiaKwok-Yan Lam, Tsinghua University, China

Gary B. Lamont, Air Force Institute of Technology, USA

C. Veni Madhavan, Indian Institute of Science, Bangalore, India

Rabinarayan Mahapatra, Texas A & M, USA

Antonio Manzalini, Telecom Italia, Italy

Owen McCusker, Sonalysts, USA

Srinivas Mukkamala, New Mexico Tech, USA

Suku Nair, Southern Methodist University, USA

Sihan Qing, Chinese Academy of Sciences, China

Srini Ramaswamy, ABB Corporate Research Center, Bangalore, India

Martin Rehak, Czeck Technical University, Czeck Republic

Sankardas Roy, Howard University, USA

Andrzej Rucinski, University of New Hampshire, USA

Kouichi Sakurai, Kyushu University, Japan

Xinyuan (Frank) Wang, George Mason University, USA

Sugata Sanyal, Tata Consultancy Services , India

Indranil Sengupta, Indian Institute of Technology, India

Frederick Sheldon, Oak Ridge National Laboratory, USA

Victor Skormin, Binghamton University, USA

Mario Strasser, ETH Zürich, Switzerland

Shamik Sural, Indian Institute of Technology, Kharagpur, India

Alexander Tarakanov, St. Petersburg Institute for Informatics, Russia

Shambhu Upadhyaya, State University of New York at Buffalo, USA

Da-Wei Wang, Academia Sinica, Taiwan

Qishi Wu, University of Memphis, USA

Nan Zhang, George Washington University, USA

Reviewers

Robert K. AbercrombieGerry V. DozierSara ForestiPadmavathi GanapathiMartin RehakSankardas RoySugata Sanyal

Shamik SuralJosep Domingo-FerrerMurat KantarciogluQishi WuKwok-Yan LamKouichi SakuraiFabio Sangiacomo

Franz KurfessAtilla ElciVenkata KrishnaBalakrishnan SarojiniYasuo OkabeMichal SramkaKave Salamatian

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Yuan-Liang WangEl-Sayed El-AlfySolange GhernaoutiPramod JamkhedkarNedunchezhian Raju

Irfan AhmedMuddassar FarooqTrevor MartinTao BanMong-Fong Horng

Rajalakshmi Nedunchezhian

P. Ilango

Simon Miller

Keynote: Artifacts and Indicators Analysis in Cyber SecurityBy Prof. Ratan K. Guha Chair:Date/Time: 13.30 – 14.30, Thu. 18 April 2013 Venue: Lyrebird, Level 3

Session: CICS-1Chair: Dipankar Dasgupta Co-Chair: A. Nur Zincir-HeywoodDate/Time: 8.30 – 10.10, Wed. 17 April 2013 Venue: Canary II Level 4

SS-0343 Indoor Geo-Fencing and Access Control for Wireless Networks—Hossein Rahimi, A. Nur Zincir-Heywood andBharat Gadher

SS-0409 Quantifying Encircling Behaviour in Complex Networks—Mahendra Piraveenan, Shahadat Uddin,Kon Shing Kenneth Chung and Dharshana Kasthurirathna

SS-0593 Evolving OWA Operators for Cyber Security Decision Making Problems—Simon Miller, Jonathan M. Garibaldiand Susan Appleby

SS-0985 A Novel Hybrid-Network Intrusion Detection System (H-NIDS) in Cloud Computing—Chirag N. Modi andDhiren Patel

Session: CICS-2Chair: Gerry Dozier Co-Chair: Ratan GuhaDate/Time: 10.40 – 12.20, Wed. 17 April 2013 Venue: Canary II Level 4

SS-0992 What Defines an Intruder? An Intelligent Approach—Hector M. Lugo-Cordero and Ratan K. Guha

SS-0688 Evolving Indigestible Codes: Fuzzing Interpreters with Genetic Programming (Position Statement)—Sanjay Rawat, Fabien Duchene, Roland Groz and Jean-Luc Richier

SS-0737 Image Visualization Based Malware Detection—Kesav Kancherla and Srinivas Mukkamala

Session: CICS-3Chair: Shubhalaxmi Kher Co-Chair: P. KumaraguruDate/Time: 13.40 – 15.20, Wed. 17 April 2013 Venue: Canary II Level 4

SS-0700 Resilient Hybrid Overlay Model for Smart Grid – RHM for Smart Grid—Shubhalaxmi Kher, Victor Nutt andDipankar Dasgupta

SS-0214 Multilevel Strategies for Approximating Makespan Optimization in Coarse Grained Grid Scheduler—R. Leena Sri and N. Balaji

SS-0416 Higher Dimensional Chaos for Audio Encryption—S. Ganesh Babu and P. Ilango

Posters Date/Time: 8.30 – 10.10, Wed. 17 April 2013

SS-0467 Applications of Computational Intelligence for Static Software Checking Against Memory CorruptionVulnerabilities—Marcos Alvares, Tshilidzi Marwala and Fernando Buarque de Lima Neto

IEEE Symposium on Computational Intelligence and Data Mining (IEEE CIDM 2013)

The 2013 IEEE Symposium on Computational Intelligence and Data Mining (IEEE CIDM 2013) covers research in the field ofcomputational intelligence applied to issues in data mining algorithms, applications, software and data and process miningsystems, gathering together experts from academia as well as industry to discuss recent developments in the field.

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IEEE CIDM 2013 has attracted 80 submissions of which 30 could be accepted as talks and 19 as posters. The sympo-sium is organized in 7 sessions: three special sessions on “Interpretable systems in machine learning, data analysis, andvisualization”, “Process Mining”, and “Data Mining in Industrial Applications”, accompanied by three regular sessions on“Computational intelligence methods for high dimensional data and time series”, “Efficient classification and clustering”,“Computational Intelligence for Multimedia Data and Social Media”, and a dedicated poster session including posterspotlights.

We are happy to also welcome two renowned experts in their fields as keynote speakers: Alessandro Sperduti will presentresearch on “Learning with kernels for streams of structured data” and Kay Chen Tan will deliver a keynote on “Advancesin Evolutionary Learning and Optimization”.

Chair(s)Barbara HammerNanjing University, China

Zhi-Hua ZhouNanjing University, ChinaLipo WangNanyang Technological University, SingaporeNitesh ChawlaUniversity of Notre Dame, USA

Program Committee

Hussein Abbass, Australia Defence Force Academy, Australia

Michael Aupetit, CEA LIST, France

Monica Bianchini, University of Siena, Italy

Michael Biehl, University of Groningen, The Netherlands

Jonathan Chan, KMUTT, Thailand

Shu-Ching Chen, Florida International University, USA

Songcan Chen, NUAA, China

Sung-Bae Cho, Yongsei University, Korea

Seungjin Choi, Pohang University of Science and Technology, Korea

Jose Alfredo F. Costa, Federal University at RN State, Brazil

Sven F. Crone, Lancaster University Management School, UK

Hai-Bin Duan, Beihang University, China

Mark Embrechts, RPI, USA

Floriana Esposito, University of Bari, Italy

Colin Fyfe, University of Glasgow, UK

Yang Gao, Nanjing University, China

Larry Hall, University of South Florida, USA

Haibo He, Univ. Rhode Island, USA

Xiaofei He, Zhejiang University, China

Francisco Herrera, University of Granada, Spain

Tom Heskes, University of Nijmegen, The Netherlands

Cao Tru Hoang, Ho Chi Minh City Univ Tech., Vietnam

Joshua Huang, CAS Shenzhen, China

Xiaodi Huang, Charles Sturt University, Australia

Eyke Huellermeier, Uni-Marburg, Germany

Johannes Jain, Berlin University of Technology, Germany

Janusz Kacprzyk, Polish Academy of Science, Poland

Mehmed Kantardzic, University of Louisville, USA

Nikola Kasabov, AUT University, New Zealand

Philip Kegelmeyer, Sandia National Laboratories, USA

Tamara Kolda, Sandia National Laboratories, USA

James Kwok, Hong Kong University, Hong Kong

Wai Lam, Chinese University of Hong Kong, Hong Kong

Vincent C. S. Lee, Monash University, Australia

Yuh-Jye Lee, National Taiwan University of Science and Technology,Taiwan

John A. Lee, Universite Catholique du Louvain, Belgium

Philippe Lenca, Telecom Bretagne, France

Ming Li, Nanjing University, China

Tianrui Li, Southwest University, China

Guozheng Li, Tongji University, China

Xue Li, University of Queensland, AustraliaXiaolin Li, Nanjing University, ChinaShou-De Lin, National Taiwan University, TaiwanPaulo Lisboa, Liverpool John Moores University, UKXu-Ying Liu, Southeast University, ChinaBaoding Liu, Tsinghua University, ChinaYing Liu, Korea Advanced Institute of Science and Technology, KoreaErzsebet Merenyi, Rice University Houston, USAAlessio Micheli, University of Pisa, ItalyIan Nabney, Aston University, UKOliver Obst, CSIRO ICT Centre Sydney, AustraliaRong Pan, Zhongshan University, ChinaJose M. Pena, Univ. Politecnica de Madrid, SpainMartin Riedmiller, University of Fribourg, GermanyFabio Roli, University of Cagliari, ItalyFabrice Rossi, University Paris 1, FranceUlrich Rueckert, Bielefeld University, GermanyJoseph Rynkiewicz, University Paris 1, FranceIsaam Saeed, The University of Melbourne, AustraliaBenjamin Schrauwen, University of Gent, BelgiumFriedhelm Schwenker, University of Ulm, GermanyUdo Seiffert, Fraunhofer-Institut IFF Magdeburg, GermanyDiego Sona, PAVIS Istituto Italiano di Tecnologia, ItalyYangqiu Song, Microsoft, ChinaAlessandro Sperduti, University of Padova, ItalyAshok Srivastava, NASA, USAJochen Steil, Bielefeld University, GermanyKarsten Steinhaeuser, University of Minnesota, USAMu-Chun Su, National Central University, TaiwanChangyin Sun, Southeast University, ChinaJohan Suykens, K. U. Leuven, BelgiumRyszard Tadeusiewicz, AGH University of Science and Technology,PolandRoberto Tagliaferri, University of Salerno, ItalyPeter Tino, University of Birmingham, UKDat Tran, University of Canberra, AustraliaVincent Tseng, National Cheng Kong University, TaiwanLaurens van der Maaten, Delft University, The NetherlandsSebastian Ventura, University of Cordoba, SpainMichel Verleysen, Universite Louvain la Neuve, BelgiumBrijesh Verma, Central Queensland University, AustraliaFan Wang, Microsoft Research, USAHifeng Wang, Baidu, ChinaHao Wang, St Francis Xavier University, Canada

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Michal Wozniak, Wroclaw University of Technology, Poland

Hui Xiong, Rutgers University, USA

Hujun Yin, University of Manchester, UK

Yang Yu, Nanjing University, China

Xiaoqin Zeng, HoHai University, China

Du Zhang, California State Univ at Sacramento, USA

Yanqing Zhang, Georgia State University, USA

Junping Zhang, Fudan University, China

Changshui Zhang, Tsinghua University, China

Mengjie Zhang, Victoria Univ Wellington, New Zealand

Min-Ling Zhang, Southeast University, China

Xinquan Zhu, Technology University Sydney, Australia

Keynote: Learning with Kernels for Streams of Structured DataBy Prof. Alessandro Sperduti Chair: Barbara HammerDate/Time: 9.30 – 10.30, Tue. 16 April 2013 Venue: Galleria Ballroom, Level 3

Keynote: Advances in Evolutionary Learning and OptimizationBy Dr. K. C. Tan Chair: Barbara HammerDate/Time: 13.30 – 14.30, Wed. 17 April 2013 Venue: Lyrebird, Level 3

Session: Interpretable Systems in Machine Learning, Data Analysis, and VisualizationChair: Michael Biehl Co-Chair: Nitesh ChawlaDate/Time: 10.40 – 12.20, Tue. 16 April 2013 Venue: Swallow Level 3

SS-0540 Interpretable Models from Distributed Data Via Merging of Decision Trees—Artur Andrzejak, Felix Langnerand Silvestre Zabala

SS-0255 Regularization and Improved Interpretation of Linear Data Mappings and Adaptive DistanceMeasures—Marc Strickert, Barbara Hammer, Thomas Villmann and Michael Biehl

SS-0759 Quantitative Measurements of Model Interpretability for the Analysis of Spectral Data—Andreas Backhaus andUdo Seiffert

SS-0434 Automated Selection of Interaction Effects in Sparse Kernel Methods to Predict Pregnancy Viability—Vanya Van Belle and Paulo Lisboa

Session: Data Mining in Industrial ApplicationsChair: Yi Lu Murphey Co-Chair: Zhiwei XuDate/Time: 13.40 – 15.20, Tue. 16 April 2013 Venue: Cardinal Level 3

SS-0131 Kernel Spectral Clustering for Predicting Maintenance of Industrial Machines—Rocco Langone, Carlos Alzate,Bart De Ketelaere and Johan A. K. Suykens

SS-0993 Machine Learning of Engineering Diagnostic Knowledge from Unstructured Verbatim TextDescriptions—Yinghao Huang, Yi L. Murphey and Yao Ge

SS-0694 A Novel Fuzzy Classification to Enhance Software Regression Testing—Zhiwei Xu, Yi Liu and Kehan Gao

SS-0999 Unsupervised Multimodal VAD Using Sequential Hierarchy—Rameez Ahmad, Syed Paymaan Razaand Hafiz Malik

SS-0515 Ready-to-Use Activity Recognition for Smartphones—Pekka Siirtola and Juha Röning

Session: Computational Intelligence Methods for High Dimensional Data and Time SeriesChair: Andreas Backhaus Co-Chair: Michael BiehlDate/Time: 8.30 – 10.10, Wed. 17 April 2013 Venue: Swallow Level 3

SS-0276 How to Extract Meaningful Shapes from Noisy Time-Series Subsequences?—Yanfei Kang, Kate Smith-Miles andDanijel Belušic

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SS-0183 Discovery of Topological Relations for Spatial Activity Recognition—Kevin Bouchard, Abdenour Bouzouane andBruno Bouchard

SS-0520 Spatio-Temporal Event Detection Using Probabilistic Graphical Models (PGMs)—Azadeh Mousavi,Matt Duckham, Ramamohanarao Kotagiri and Abbas Rajabifard

SS-0546 Combining Semi-Supervised and Active Learning for Hyperspectral Image Classification—Mingzhi Li,Rui Wang and Ke Tang

SS-0162 Detecting Abnormal Ozone Levels Using PCA-Based GLR Hypothesis Testing—Fouzi Harrou,Mohamed N. Nounou and Hazem N. Nounou

Session: Process MiningChair: Andrea Burattin Co-Chair: Alessandro SperdutiDate/Time: 10.40 – 12.20, Wed. 17 April 2013 Venue: Cardinal Level 3

SS-0648 Business Models Enhancement Through Discovery of Roles—Andrea Burattin, Alessandro Sperdutiand Marco Veluscek

SS-0366 Discovering Signature Patterns from Event Logs—R. P. Jagadeesh Chandra Bose and Wil M. P. van der Aalst

SS-0665 A Principled Approach to Mining From Noisy Logs Using Heuristics Miner—Philip Weber, Behzad Bordbar andPeter Tino

SS-0387 Wanna Improve Process Mining Results? It’s High Time We Consider Data Quality Issues Seriously—R. P. Jagadeesh Chandra Bose, Ronny S. Mans and Wil M. P. van der Aalst

SS-0675 A Two-Step Fast Algorithm for the Automated Discovery of Declarative Workflows—Claudio Di Ciccio andMassimo Mecella

Session: Efficient Classification and ClusteringChair: Artur Andrzejak Co-Chair: Nitesh ChawlaDate/Time: 8.30 – 10.10, Thu. 18 April 2013 Venue: Swallow Level 3

SS-0063 Supervised Novelty Detection—Vilen Jumutc and Johan A. K. Suykens

SS-0244 Interpreting Individual Classifications of Hierarchical Networks—Will Landecker, Michael D. Thomure,Luís M. A. Bettencourt, Melanie Mitchell, Garrett T. Kenyon and Steven P. Brumby

SS-0439 A Hierarchy of Independence Assumptions for Multi-Relational Bayes Net Classifiers—Oliver Schulte,Bahareh Bina, Branden Crawford, Derek Bingham and Yi Xiong

SS-0104 Detecting Pixel-Value Differencing Steganography Using Levenberg-Marquardt Neural Network—El-Sayed M. El-Alfy

SS-0206 Improving Genetic Programming Classification for Binary and Multiclass Datasets—Nailah Al-Madi andSimone A. Ludwig

Session: Computational Intelligence for Multimedia Data and Social MediaChair: Oliver Schulte Co-Chair: Barbara HammerDate/Time: 10.40 – 12.20, Thu. 18 April 2013 Venue: Cardinal Level 3

SS-0151 A Semantic Subspace Learning Method to Exploit Relevance Feedback Log Data for Image Retrieval—Lining Zhang, Lipo Wang and Weisi Lin

SS-0182 Web Product Ranking Using Opinion Mining—Yin-Fu Huang and Heng Lin

SS-0663 Transaction-Based Link Strength Prediction in a Social Network—Hassan Khosravi, Ali Bozorgkhanand Oliver Schulte

SS-0636 SAE: Social Adaptive Ensemble Classifier for Data Streams—Heitor Murilo Gomes and Fabrício Enembreck

SS-0838 Software Cost Estimation by Classical and Fuzzy Analogy for Web Hypermedia Applications: A ReplicatedStudy—Ali Idri and Azeddine Zahi

Keynote: Advances in Evolutionary Learning and OptimizationBy Kay Chen Tan Chair: Zhi-Hua ZhouDate/Time: 1.40 – 2.40, Wednesday 17, 2013 Venue: Swallow / Lyrebird

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Posters Date/Time: 14.30 – 15.10, Wed 17 April 2013

SS-0603 Predicting YouTube Content Popularity via Facebook Data: A Network Spread Model for OptimizingMultimedia Delivery—Dinuka A. Soysa, Denis Guangyin Chen, Oscar C. Au and Amine Bermak

SS-0370 E-mail Address Categorization Based on Semantics of Surnames—Suresh Veluru,Yogachandran Rahulamathavan, P. Viswanath, Paul Longley and Muttukrishnan Rajarajan

SS-0947 A Self-Organizing Time Map for Time-to-Event Data—Peter Sarlin

SS-0505 Interpretable Magnification Factors for Topographic Maps of High Dimensional and StructuredData—Nikolaos Gianniotis

SS-0945 Automatic Service Composition Using POMDP and Provenance Data—Mahsa Naseri and Simone A. Ludwig

SS-0457 A Comprehensive Benchmarking Framework (CoBeFra) for Conformance Analysis Between ProceduralProcess Models and Event Logs in ProM—Seppe K. L. M. vanden Broucke, Jochen De Weerdt, Jan Vanthienen andBart Baesens

SS-0744 Nonnegative Matrix Factorization and Artificial Immune Based Classification for Fault Diagnosis of DieselValve Train—Yongsheng Yang, Gang Li, Yongsheng Zhu and Youyun Zhang

SS-0764 A Summary-Based Database Flexible Querying—Minyar Sassi-Hidri

SS-0382 Automotive Diagnosis Typo Correction Using Domain Knowledge and Machine Learning—Yinghao Huang,Yi Lu Murphey and Yao Ge

SS-0460 Revised Online Learning with Kernels for Classification and Regression—Guoqi Li, Ning Ning,Kiruthika Ramanathan and Luping Shi

SS-0026 A Novel Quantum Cooperative Co-Evolutionary Algorithm for Large-Scale Minimum Attribute ReductionOptimization—Weiping Ding, Quan Shi, Senbo Chen, Zhijin Guan and Jiandong Wang

SS-0497 Selection of a Robust Experimental Design for the Effective Modeling of Nonlinear Systems Using GeneticProgramming—K. Tai and A. Garg

SS-0413 GPU-Accelerated eXtended Classifier System—Mani Abedini, Michael Kirley, Raymond Chiongand Thomas Weise

SS-0815 Semantic Annotation Tools Survey—Pedro Oliveira and João Rocha

SS-0796 Class-Dependent Canonical Correlation Analysis for Scalable Cross-Lingual DocumentCategorization—Mohamed Farouk Abdel Hady and Mina Asham

SS-0480 Assessment of Voting Ensemble for Estimating Software Development Effort—Mahmoud O. Elish

SS-0491 Mining Social Networks’ Arabic Slang Comments—Taysir Hassan A. Soliman, Mostafa A. Elmasry,Abdel Rahman Hedar and M. M. Doss

IEEE Symposium on Computational Intelligence in Dynamic and UncertainEnvironments (IEEE CIDUE 2013)

IEEE CIDUE 2013 is the second IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments,following its inception in 2011 in Paris by the same orgainzers. The purpose of this symposium is to bring together scien-tists, engineers, and graduate students to present and discuss recent advances in employing CI for solving scientific andengineering problems in the presence of uncertainties.

After a peer review process, 14 papers have been accepted for oral presentation from 16 high-quality submissions. The-ses accepted papers represent most recent advances in algorithm development as well as applications of CI techniques inoptimization and learning in dynamic and uncertain environments. One Keynote speech by Prof Y. Jin will be delivered, pro-viding an overview of the state-of-the-art in evolutionary optimization in uncertain environments and focusing on emergingnew ideas and real-world applications. It is hoped that this symposium will further promote the synergies between researchefforts on evolution and learning in uncertain environments, and attract interests of more young researchers and industrialpractitioners to this continuously growing area.

Co-Chair(s)Yaochu JinUniversity of Surrey, UK

Robi PolikarRowan University, USA

Shengxiang YangBrunel University, UK

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Program Committee

Hamid Bouchachia, University of Klagenfurt, Austria

Anabela Simoes, University of Coimbra, Portugal

Peter Bosman, Centrum voor Wiskunde en Informatica,The Netherlands

Ke Tang, University of Science and Technology of China, China

David Pelta, University of Granada, Spain

Ponnuthurai Suganthan, Nanyang Tech. University, Singapore

Manuel Roveri, University of Pisa, ItalyAlbert Bifet, University of Waikato, New Zealand

Gregory Ditzler, Drexel University, USA

Cesare Alippi, Politecnico di Milano, Italy

Juergen Branke, University of Wawick, UK

Hui Cheng, University of Bedfordshire

Chi-Keong Goh, Rolls-Royce Advanced Technology Centre, SingaporeHaibo He, University of Rhode Island, USA

Ivan Koychev, Bulgarian Academy of Sciences, Bulgaria

Xiaodong Li, RMIT University, Australia

Yew-Soon Ong, Nanyang Tech. University, Singapore

Hendrik Richter, Leipzig University of Applied Sciences

Philipp Rohlfshagen, University of Essex, UKMoamar Sayed Mouchaweh, URCA, France

Qingfu Zhang, University of Essex, UK

Indrežliobaite, Bournemouth University, UK

Shengxiang Yang, Brunel University, UK

Robi Polikar, Rowan University, USA


Kay Chen Tan, National University of Singapore, Singapore

A. Sima Etaner-Uyar, Istanbul Technical University, Turkey

Dirk V. Arnold, Dalhousie University, Canada

Yingjie Yang, De Montfort University, UK

Jinliang Ding, Northeastern University, China

Xiaochuan Luo, Northeastern University, China

Shengping Yu, Northeastern University, China

Bin Li, University of Science and Technology of China, China

Carlos Coello Coello, CINVESTAV-IPN, Mexico

Swagatam Das, Indian Statictical Institute, India

Changhe Li, China University of Geosciences, China

Sanyou Zeng, China University of Geosciences, China

Xiaoyan Sun, China University of Mining and Technology

Dunwei Gong, China University of Mining and Technology

Maoguo Gong, Xidian University, China

Chuan-Kang Ting, National Chung Cheng University, ROC

Shih-Hsin Chen, Nanhua University, ROC

Aimin Zhou, East China Normal University, China

Haibin Duan, Beihang University

Keynote: Evolutionary Optimization in Dynamic and Uncertain EnvironmentsBy Prof. Yaochu Jin Chair: Andries EngelbrechtDate/Time: 8.30 – 9.30, Wed. 17 April 2013 Venue: Lyrebird, Level 3

Session: Surrogate-Assisted and Dynamic OptimizationChair: Y. Jin Co-Chair: Engelbrecht AndriesDate/Time: 10.40 – 12.20, Wed. 17 April 2013 Venue: Canary I Level 4

SS-0172 Similarity-Based Evolution Control for Fitness Estimation in Particle Swarm Optimization—Chaoli Sun,Jianchao Zeng, Jengshyang Pan and Yaochu Jin

SS-0495 Recurrent Neural Network Ensembles for Convergence Prediction in Surrogate-Assisted EvolutionaryOptimization—Christopher Smith, John Doherty and Yaochu Jin

SS-0525 Issues with Performance Measures for Dynamic Multi-Objective Optimisation—Mardé Helbig andAndries P. Engelbrecht

SS-0681 Takeover Time in Dynamic Optimization Problems—Yesnier Bravo, Gabriel Luque and Enrique Alba

SS-1007 Surrogate Enhanced Interactive Genetic Algorithm with Weighted Gaussian Process—Shanshan Chen,Xiaoyan Sun, Dunwei Gong and Yong Zhang

Session: Learning in Dynamic EnvironmentsChair: R. Polikar Co-Chair: Yaochu JinDate/Time: 13.40 – 15.20, Wed. 17 April 2013 Venue: Canary I Level 4

SS-0326 Dynamic Significant Feature Extraction for Embedded Intelligent Agent Implementations—Koldo Basterretxea,Inés del Campo, María Victoria Martínez and Javier Echanobe

SS-0329 Co-Evolutionary Learning in the N-Choice Iterated Prisoner’s Dilemma with PSO Algorithm in a SpatialEnvironment—Xiaoyang Wang, Huiyou Chang, Yang Yi and Yibin Lin

SS-0441 An Incremental Approach for Updating Approximations of Rough Fuzzy Set Under the Variation ofAttribute Values—Anping Zeng, Tianrui Li, Chuan Luo and Junbo Zhang

SS-0618 Discounted Expert Weighting for Concept Drift—Gregory Ditzler, Gail Rosen and Robi Polikar

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SS-0848 LDCnet: Minimizing the Cost of Supervision for Various Types of Concept Drift—Piotr Sobolewski andMichałWozniak

Session: Dynamic Evolution and Learning: Benchmarks and ApplicationsChair: David Corne Co-Chair: Dun-Wei GongDate/Time: 15.50 – 17.30, Wed. 17 April 2013 Venue: Canary I Level 4

SS-0216 A Modular Technique for Monthly Rainfall Time Series Prediction—Jesada Kajornrit, Kok Wai Wongand Chun Che Fung

SS-0544 Benchmarks for Dynamic Multi-Objective Optimisation—Mardé Helbig and Andries P. Engelbrecht

SS-0669 A Memetic Algorithm for Dynamic Economic Load Dispatch Optimization—Sunny Orike and David W. Corne

SS-0919 A Bayesian Network Model for Evacuation Time Analysis During a Ship Fire—Parvaneh Sarshar,Jaziar Radianti, Ole-Christoffer Granmo and Jose J. Gonzalez

IEEE Symposium on Computational Intelligence and Ensemble Learning(IEEE CIEL 2013)

Ensemble learning attempts to enhance the performance of systems (clustering, classification, prediction, feature selection,search, optimization, rule extraction, etc.) by using multiple models instead of using a single model. This approach is intu-itively meaningful as a single model may not always be the best for solving a complex problem while multiple models aremore likely to yield results better than each of the constituent models. Although in the past, ensemble methods have beenmainly studied in the context of classification and time series prediction, recently they are being used in algorithms in otherscenarios such as clustering, fuzzy systems, evolutionary algorithms, dimensionality reduction and so on.

The aim of this symposium is to bring together researchers and practitioners who are working in the overlapping fieldsof ensemble methods and computational intelligence. Papers dealing with theory, algorithms, analysis, and applications ofensemble of computational intelligence methods are sought for this symposium.

Co-Chair(s)Nikhil R PalISI, Kolkatta, India

Xin YaoUniversity of Birmingham, UK

P. N. SuganthanNanyang Technological University, Singapore

Program Committee

Ashish Anand, IndiaJ. Balasubramaniam, IndiaS. Baskar, IndiaJyh-Yeong Chang, TaiwanShyi-Ming Chen, TaiwanI-F Chung, TaiwanBartosz Krawczyk, Poland

Swagatam Das, IndiaPradip Ghanty, IndiaAmit Konar, IndiaArijit Laha, IndiaJane J Liang, ChinaQ-K Pan, ChinaG. Pugalenthi, Kingdom of Saudi Arabia

A. K. Qin, France

B-Y Qu, China

Rammohan Mallipeddi, Korea

Ke Tang, China

M. Fatih Tasgetiren, Turkey

Shizheng Zhao, Singapore

Keynote: Ensemble Approaches in LearningBy Prof. Xin Yao Chair: Ke TangDate/Time: 9.30 – 10.30, Thu. 18 April 2013 Venue: Galleria Ballroom, Level 3

Session: Ensemble Classifiers IChair: Michal Wozniak Co-Chair: Norbert JankowskiDate/Time: 13.40 – 15.20, Thu. 18 April 2013 Venue: Nightingale Level 4

SS-0238 Fast Heterogeneous Boosting—Norbert Jankowski

SS-0385 Classifiers with a Reject Option for Early Time-Series Classification—Nima Hatami and Camelia Chira

SS-0484 Visualisation of High-Dimensional Data Using an Ensemble of Neural Networks—Nikolaos Gianniotis andCarsten Riggelsen

SS-0786 K-Nearest Neighbor Based Bagging SVM Pruning—Ren Ye, Zhang Le and P. N. Suganthan

SS-0823 Instance Based Random Forest with Rotated Feature Space—Le Zhang, Ye Ren and P. N. Suganthan

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Session: Ensemble Classifiers IIChair: David Powers Co-Chair: Xin YaoDate/Time: 15.50 – 17.30, Thu. 18 April 2013 Venue: Nightingale Level 4

SS-0588 A Learning Framework for Online Class Imbalance Learning—Shuo Wang, Leandro L. Minku and Xin YaoSS-0677 Accuracy and Diversity in Classifier Selection for One-Class Classification Ensembles—Bartosz Krawczyk and

MichałWozniakSS-0642 Overproduce-and-Select: The Grim Reality—Ulf Johansson, Tuve Löfström and Henrik BoströmSS-0671 On Diversity Measures for Fuzzy One-Class Classifier Ensembles—Bartosz Krawczyk and MichałWozniakSS-0283 Reduct Based Ensemble of Learning Classifier System for Real-Valued Classification Problems—Essam Debie,

Kamran Shafi, Chris Lokan and Kathryn Merrick

IEEE Symposium on Computational Intelligence for Engineering Solutions(IEEE CIES 2013)

This Symposium is focused on the utilization of Computational Intelligence in the entire field of engineering. Developmentsin Engineering are characterized by a growing complexity, which is balanced by an extensive utilization of computationalresources. This complexity is not only a feature of engineering systems, processes and products, it is primarily a key attributeof the respective algorithms for analysis, control and decision-making to develop those engineering solutions. To cope withcomplexity in this broad spectrum of demands, Computational Intelligence is implemented increasingly in virtually allengineering disciplines. This emerging approach forms a basis for developments of a new quality. CIES provides a forumfor the presentation and discussions of advancements in this context.

The final technical program consists of 35 papers for oral presentation organized in 7 sessions according to their technicalthemes and of additional 4 poster presentations. These papers demonstrate how the implementation of key concepts ofcomputational intelligence can emerge into significant advancements in various specific engineering developments. Twokeynote lectures are scheduled under CIES, which will provide overviews on the utilization of computational intelligence instructural analysis and design and on fuzzy applications in ground vehicle engineering with focus on identification. We hopethat this compilation of CIES will nurture fruitful discussions and the identification of new directions and collaboration.

Co-Chair(s)Michael BeerUniversity of Liverpool, UK

Vladik KreinovichThe University of Texas at El Paso, TX, USA

Rudolf KruseUniversity of Magdeburg, Germany

Program Committee

Hojjat Adeli, The Ohio State University, USAJames L. Beck, California Institute of Technology, USAOscar Castillo, Tijuana Institute of Technology, MexicoChang Che Sau, National University of Singapore, SingaporeDimitar P. Filev, Ford Motor Company, USAMichael Fisher, University of Liverpool, UKHitoshi Furuta, Kansai University, JapanWolfgang Graf, Dresden University of Technology, GermanyJorge E. Hurtado, National University of Colombia, ColombiaLambros S. Katafygiotis, The Hong Kong University of Science &Technology, Hong Kong, China

Valentin Ivanov, Ilmenau University of Technology, Germany

Kevin S.C. Kuang, National University of Singapore, Singapore

Tenreiro Machado, Polytechnic Institute of Porto, Portugal

Ralf Mikut, University of Karlsruhe, Germany

Paluri S. V. Nataraj, Indian Institute of Technology Bombay, India

Detlef Nauck, British Telecom, UK

Quek Ser Tong, National University of Singapore, Singapore

Thomas Runkler, Siemens AG, Germany

Tai Kang, Nanyang Technological University, Singapore

Enrico Zio, Polytechnic of Milan, Italy

Keynote: Computational Intelligence in Structural Analysis and DesignBy Prof. Michael Beer Chair: Vladik KreinovichDate/Time: 14.30 – 15.30, Thu. 18 April 2013 Venue: Lyrebird, Level 3

Keynote: Fuzzy Applications in Ground Vehicle Engineering: Focus on IdentificationBy Dr. Valentin Ivanov Chair: Michael BeerDate/Time: 13.30 – 14.30, Fri. 19 April 2013 Venue: Galleria Ballroom, Level 3

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Session:Chair: Co-Chair:Date/Time: 8.30 – 10.10, Thu. 18 April 2013 Venue: Paradiso Level 3

SS-0189 Optimization of Structural Support Locations Using a Hybrid Genetic Algorithm—Jin Cheng and Yin Li

SS-0253 The Applications of Computational Intelligence in System Reliability Optimization—Bo Xing, Wen-Jing Gaoand Thilidzi Marwla

SS-0678 Interactive Particle Swarm Optimization for the Architectural Design of Truss Structures—Juliana Felkner,Eleni Chatzi and Toni Kotnik

SS-0399 Modified Binary Differential Evolution for Solving Wind Farm Layout Optimization Problems—Dazhi Jiang,Chenfeng Peng, Zhun Fan, Yan Chen and Xinye Cai

Session:Chair: Co-Chair:Date/Time: 10.40 – 12.20, Thu. 18 April 2013 Venue: Paradiso Level 3

SS-0542 A Multi-Objective Particle Swarm Optimization for Dual-Resource Constrained Shop Scheduling withResource Flexibility—Jing Zhang, Wanliang Wang, Xinli Xu and Jing Jie

SS-0705 Research on Hydropower Station Optimal Scheduling Considering Ecological Water Demand—WanliangWang, Li li, Xinli Xu, Xu Cheng and Yanwei Zhao

SS-0589 A Hybrid Evolutionary Algorithm for OFDM Resource Allocation—Hai-lin Liu and Qiang Wang

SS-0934 Cost Functions for Assessment of Vehicle Dynamics—Dzmitry Savitski, Jiri Plihal, Pavel Nedoma,Jaroslav Machan, Valentin Ivanov and Klaus Augsburg

Session:Chair: Co-Chair:Date/Time: 8.30 – 10.10, Fri. 19 April 2013 Venue: Paradiso Level 3

SS-0875 Assessment of Rollover Stability Based on Risk Indicator – Case Study for an Electric Vehicle—Bin Wang,Alessandro Victorino, Ali Charara, Klaus Augsburg and Kristian Höpping

SS-0886 Analysis of Subsystems Coordination for Electric Vehicle During Straight-Line Braking andBrake-in-Turn—Barys Shyrokau, Danwei Wang, Lukas Heidrich and Kristian Höpping

SS-0579 Designing a Fully Automated Hierarchical Fuzzy Logic Controllers Using Evolutionary Algorithms—Pintu Chandra Shill and Kazuyuki Murase

SS-0683 Efficient Serial and Parallel SVM Training Using Coordinate Descent—Emmanuel Liossis

SS-0303 FATHOMing Out Interdisciplinary Research Transfer—Keeley A. Crockett, James D. O’Shea, Fiona J. BuckinghamZuhair A. Bandar, Kathleen M. MacQueen, Mario Chen and Kelly Simpson


SS-0323 An Interactive Genetic Algorithm-Based Image Sharpening System Considering User’s Liking—Yoshiaki Ueda, Yohei Kuramoto, Ryosuke Kubota, Noriaki Suetake and Eiji Uchino

SS-0717 Real-Coded Genetic Algorithm for Solving Multi-Area Economic Dispatch Problem—Huynh Thi Thanh Binhand Tran Kim Toan

SS-0218 Computational Intelligence-Based Identification of Maximally Sustainable Materials: The Case of LiquidContainers—Tatiana Tambouratzis, Dimitris Karalekas and Nikolaos G. Moustakas

SS-0357 A Hybrid Approach to Co-Reference Identification Within Museum Collections—David Croft, Simon Couplandand Stephen Brown

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SS-0373 An Artificial Neural Network Based Approach for Power Spectrum Estimation and Simulation of StochasticProcesses Subject to Missing Data—Liam A. Comerford, Ioannis A. Kougioumtzoglou and Michael Beer

SS-0605 Parameter Estimation in an Uncertain and Noisy Environment Via Set Inversion—R. Merheb, L. Moraand E. Palomo

SS-0020 Hazard Analysis for Safety-Critical Systems Using SOFL—Azma Binti Abdullah and Shaoying Liu

SS-0732 A Smart Agent to Trade and Predict Foreign Exchange Market—Mohamed Taher Alrefaie, Alaa-Aldine Hamoudaand Rabie Ramadan


SS-0660 From p-Boxes to p-Ellipsoids: Towards an Optimal Representation of Imprecise Probabilities—Konstantin K. Semenov and Vladik Kreinovich

SS-0187 Construction of Confidence Interval on Mean Value with Interval Data—Kais Zaman and Shahriar M. Khan

SS-0729 Data Anonymization that Leads to the Most Accurate Estimates of Statistical Characteristics—Gang Xiang andVladik Kreinovich

SS-0039 Predicting Mine Dam Levels and Energy Consumption Using Artificial Intelligence Methods—Ali N Hasan,Bhekisipho Twala and Tshilidzi Marwala

SS-0082 Classification of Day-Ahead Prices in Asia’s First Liberalized Electricity Market Using PNN—S. Anbazhagan,K. Pravin and N. Kumarappan


SS-0454 Augmenting Simulations with Measurements – Application to Building-Scale Wind-Flow Modeling—Didier Gabriel Vernay, Benny Raphael and Ian F. C. Smith

SS-0061 A Hybrid Discrete Artificial Bee Colony Algorithm for the Optimization of Process Plans—Can Qu,Chaoyong Zhang, Liangliang Jin and Xinyu Shao

SS-0147 Online ANFIS Controller Based on RBF Identification and PSO—Ali Moltajaei Farid, S. Masoud Barakati andNavid Seifipour

SS-0733 A Multiobjective Particle Swarm Optimization Algorithm for Load Scheduling in Electric SmeltingFurnaces—Weijian Kong, Jinliang Ding, Tianyou Chai, Xiuping Zheng and Shengxiang Yang

SS-0805 Transitions-Based System: A Relevant Use Case—Thomas Raimbault, David Genest and Stéphane Loiseau

IEEE Symposium on Computational Intelligence for Financial Engineering &Economics (IEEE CIFEr 2013)

The CIFEr Conference is the major collaboration between the professional engineering and financial communities, and is oneof the leading forums for new technologies and applications in the intersection of computational intelligence and financialengineering and economics. Intelligent computational systems have become indispensable in virtually all financial applica-tions, from portfolio selection to proprietary trading to risk management.

This CIFEr 2013 program has a total of 20 oral presentations divided into four sessions, featuring the recent progressesin agent-based modeling of markets, portfolio optimization, financial time series analysis, and financial patterns and riskmanagement. In addition to these 20 orals, we have two post papers on other interesting economic and financial applications.To provide general audience a quick access to some recent progresses in financial engineering, a tutorial on systemic riskswill be given by Akira Namatame.

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Co-Chair(s)Shu-Heng ChenTaiwan

Robert GolanDbmind Technologies, USA

Han La PoutreCWI, Netherlands

Ronald R. YagerIona College, USA

Program Committee

Payman Arabshahi, University of Washington, USAPhillip Bennet, Deutche Bank, USAAnthony, Brabazon University College, Dublin, IrelandMark Broadie, Columbia University, USADerek Bunn, London Business School, UKChenghui Cai Duke, University, USAAgostino Capponi, Purdue University, USAOscar Castillo, Tijuana Inst. Technology, MexicoPei-Chann Chang, Yuan Ze University, TaiwanShu-Heng Chen, National Chengchi University, TaiwanVladimir Cherkassky, University of Minnesota, USASung-Bae Cho, Yonsei University KoreaJan Dash J. Dash, Consultants LLC, USAHerbert Dawid, Bielefeld University, GermanySuash Deb, C. V. Raman College of Engineering, IndiaVasant Dhar Stern, NYU, USARoy S. Freedman, Inductive Solutions, Inc, USAAdam Ghandar, University of Adelaide, AustraliaManfred Gilli, University of Geneva, SwitzerlandSalvo Greco, University of Catania, ItalyUzay Kaymak, Erasmus University Rotterdam, NetherlandsMilan Lovric, Erasmus University Rotterdam, NetherlandsThomas Lux, University of Kiel and Kiel Institute for the World Econ-omy, GermanyJose M. Merigo, University of Barcelona, SpainDietmar Maringer, University of Essex, SwitzerlandDavid Martens, University of Antwerp, Belgium

Serafin Martinez-Jaramillo, Mexican Central Bank, Mexico

Scott Mathews, Boeing, USA

Benjamin Melamed, Rutgers University, USA

Attilio Meucci, Kepos Captial, USA

Asuncion Mochon, Universidad Carlos III de Madrid, Spain

Daniel Paraschiv, CIMRU National University of Ireland, Ireland

Adrian Paschke, Technical University Dresden, Germany

Zachary Pessin, Distributed Capital Inc, USA

David Quintana, Universidad Carlos III de Madrid, Spain

Graham Rong, MIT Sloan School of Management, USA

Yago Saez, Universidad Carlos III de Madrid, Spain

Peter Sarlin, Aobo Akademi University, Finland

Antoaneta Serguieva, Brunel University, UK

Roman Slowinski, Poznan University of Technology, Poland

Edward Tsang, University of Essex, UK

Stanislav Uryasev, University of Florida, USA

Dirk Van den Poel, Ghent University, Belgium

Jan Vanthienen, Katholieke Universiteit Leuven, Belgium

Daniel Veit, University of Mannheim Germany

Lipo Wang, Nanyang Technological University, Singapore

Garnett Wilson, Afinin Labs Inc., Canada

Donald C. Wunsch, Missouri University, USA

Rachel L. Yager, Metropolitan College of New York, USA

Xin Yao, University of Birmingham, UK

Philip Yu, Hong Kong University, China

Wojciech Ziarko, University of Regina, Canada

Tutorial: Validating Simulation ModelsBy Dr. Robert Marks Chair: Shu-Heng ChenDate/Time: 8.30 – 9.30 and 9.30 – 10.30, Fri 19 April 2013 Venue: Galleria Ballroom, Level 3

Tutorial: Simulation Models on Systemic RisksBy Dr. Akira Namatame Chair: Shu-Heng ChenDate/Time: 13.30 – 14.30 and 14.30 – 15.30, Fri 19 April 2013 Venue: Galleria Ballroom, Level 3

Session: Agent-Based Modeling of MarketsChair: Shu-Heng Chen Co-Chair: Uzay KaymakDate/Time: 8.30 – 10.10, Thu. 18 April 2013 Venue: Canary I Level 4

SS-0116 Price Variation Limits and Financial Market Bubbles: Artificial Market Simulations with Agents’ LearningProcess—Takanobu Mizuta, Kiyoshi Izumi and Shinobu Yoshimura

SS-0531 Analysis on the Number of XCS Agents in Agent-Based Computational Finance—Tomohiro Nakada and KeikiTakadama

SS-0731 Empirical Anaylsis of Liquidity Provision of an Order Driven Market—William Cheung

SS-0782 A Study of Dark Pool Trading Using an Agent-Based Model—Sheung Yin Kevin Mo, Mark Paddrikand Steve Y. Yang

SS-0362 How (In)Efficient is After-Hours Trading?—Aistis Raudys, Esther Mohr and Günter Schmidt

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Session: Portfolio OptimizationChair: Shu-Heng Chen Co-Chair: Uzay KaymakDate/Time: 10.40 – 12.20, Thu. 18 April 2013 Venue: Canary I Level 4

SS-0620 Forecasting Foreign Exchange Rates Using Support Vector Regression – An Empirical Evaluation of MeanReversion Using Bollinger Bands—Farhad Bahramy and Sven F. Crone

SS-0305 Optimal Portfolio for a Robust Financial System—Yoshiharu Maeno, Satoshi Morinaga, Kenji Nishiguchi andHirokazu Matsushima

SS-0577 DynOpt: Incorporating Dynamics into Mean-Variance Portfolio Optimization—Marco Signorettoand Johan A. K. Suykens

SS-0591 Multi-Objective Evolutionary Algorithm for Multi-Project and Multi-Term Portfolio Problem—Yuan Zhou,Hailin Liu and Wenqin Chen

SS-0853 Portfolio Optimization Using Improved Artificial Bee Colony Approach—Angela H. L. Chen, Yun-Chia Liangand Chia-Chien Liu

Session: Financial Time Series AnalysisChair: Shu-Heng Chen Co-Chair: Uzay KaymakDate/Time: 15.50 – 17.30, Thu. 18 April 2013 Venue: Oriole Level 4

SS-0896 A New Approach for Time Series Prediction Using Ensembles of ANFIS Models with Interval Type-2 andType-1 Fuzzy Integrators—Jesus Soto, Patricia Melin and Oscar Castillo

SS-0236 Cluster Analysis of High-Dimensional High-Frequency Financial Time Series—Syed A. Pashaand Philip H. W. Leong

SS-0368 Simplified Evolving Rule-Based Fuzzy Modeling of Realized Volatility Forecasting with Jumps—L. Maciel, F.Gomide, R. Ballini and R. Yager

SS-0501 Empirical Analysis of Model Selection Criteria for Genetic Programming in Modeling of Time SeriesSystem—A. Garg, S. Sriram and K. Tai

SS-0543 Optimum Quantizing of Monotonic Nondecreasing Arrays—William W. Y. Hsu, Cheng-Yu Lu, Ming-Yang Kaoand Jan-Ming Ho

Session: Financial Patterns and Risk ManagementChair: Shu-Heng Chen Co-Chair: Uzay KaymakDate/Time: 15.50 – 17.30, Fri. 19 April 2013 Venue: Oriole Level 4

SS-0075 A Probabilistic Risk-to-Reward Measure for Evaluating the Performance of Financial Securities—Phil Maguire, Philippe Moser, Jack McDonnell, Robert Kelly, Simon Fuller and Rebecca Maguire

SS-0124 Crowdsourced Stock Clustering Through Equity Analyst Hypergraph Partitioning—John Robert Yaros andTomasz Imielinski

SS-0132 Intraday Forex Bid/Ask Spread Patterns - Analysis and Forecasting—Andrius Paukšte and Aistis RaudysSS-0396 Balance Sheet Outlier Detection Using a Graph Similarity Algorithm—Steve Yang and Randy CogillSS-0462 Explicit Formulas for Optimal Hedging Stratergies for European Contingent Claims—Vijaysekhar Chellaboina,

Anil Bhatia and Sanjay P. Bhat


SS-0400 Monte Carlo Methods in Spatio-Temporal Regression Modeling of Migration in the EU—Maurizio Manuguerra, Georgy Sofronov, Massimiliano Tani and Gillian Heller

SS-0943 Mapping Bank Interrelations in Financial Discussion—Samuel Ronnqvist and Peter Sarlin

IEEE Symposium on Computational Intelligence for Human-like Intelligence(IEEE CIHLI 2013)

CIHLI 2013 is the first IEEE Symposium on Computational Intelligence for Human-like Intelligence. The main goal of theSymposium is to promote and advance research activities related to all facets of human-like intelligence. In many research

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domains the existing state-of-the-art CI solutions significantly differ from the human competence level. Even though it isgenerally not clear whether human-like approach would show its upper-hand over existing methods, the exploration of thisresearch path seems to be advantageous and challenging.

Symposium topics of interest include, among others, problem solving based on intuition, creativity, insight, curiosity andimagination; the use of spatio-temporal signal properties; chunk-based representations; hierarchical knowledge representa-tion; the role of motivation in autonomous behavior; guiding role of emotions in discovery; machine consciousness; lifelonglearning, transfer learning and multitask learning; cognitively-plausible architectures and systems.

The final technical program consists of 17 submissions divided among three different sessions. The Symposium willfeature a keynote lecture delivered by Prof. Yew-Soon Ong, a tutorial given by Prof. Riccardo Manzotti and a special sessionorganized by Prof. Ben Goertzel. The Symposium has brought together scientists interested in theoretical developmentsin the area of cognitive science and in designing solutions to various engineering, AI, optimization and control problemsinspired by and competing with the human level intelligence.

Co-Chair(s)Jacek MandziukWarsaw University of Technology, Poland,[email protected],Homepage: http://www.mini.pw.edu.pl/mandziuk/

Wlodzislaw DuchNicolaus Compernicus University, Poland,[email protected],Homepage: http://www.is.umk.pl/duch/

Program Committee

Igor Aleksander, Imperial College, Great Britain

Itamar Arel, University of Tennessee, USA

Mark Bishop, University of London, Great Britain

Peter Boltuc, University of Illinois at Springfield, USA

Vadim Bulitko, University of Alberta, Canada

Sung Bae Cho, Yonsei University, Korea

David B. Fogel, Natural Selection, Inc., USA

Stan Franklin, University of Memphis, USA

Ben Goertzel, Novamente LLC, USA

Janusz Kacprzyk, Polish Academy of Science, Poland

Nikola Kasabov, Auckland University of Technology, New Zealand

Luis C. Lamb, Federal University of Rio Grande do Sul, Brazil

Giuseppe Lo Re, University of Palermo, Italy

Bob McKay, Seoul National University, Korea

Yew Soon Ong, Nanyang Technological University, Singapore

Giovanni Pilato, Institute for High Performance Computing and Net-working ICAR, Italy

Michal Ptaszynski, Hokkai-Gakuen University, Japan

James A. Reggia, University of Maryland, USA

Leszek Rutkowski, Cz estochowa University of Technology, Poland

Juergen Schmidhuber, Univesity of Lugano, Switzerland

J. Ignacio Serano, Spanish National Research Council (CSIC), Spain

Hava Siegelmann, University of Massachusetts, USA

Janusz Starzyk, Ohio University, USA


Ah-Hwee Tan, Nanyang Technological University, Singapore

Stephen Thaler, Imagination Engines, Inc., USA

Kristinn Thorisson, Reykjavik University, Iceland

Lipo Wang, Nanyang Technological University, Singapore

Pei Wang, Temple University, USA

Roseli Wedemann, State University of Rio de Janeiro, Brazil

Keynote: Human Experiments in Computational IntelligenceBy Prof. Hussein Abbass Chair: Jacek MandziukDate/Time: 10.30 – 11.30, Wed. 17 April 2013 Venue: Lyrebird, Level 3

Keynote: A Human-Inspired Memetic Computational Search ParadigmBy Dr. Yew-Soon Ong Chair: Jacek MandziukDate/Time: 16.30 – 17.30, Thu. 18 April 2013 Venue: Galleria Ballroom, Level 3

Session: Various Facets of Human-like IntelligenceChair: Jacek Mandziuk Co-Chair: Janusz StarzykDate/Time: 15.50 – 17.30, Wed. 17 April 2013 Venue: Cardinal Level 3

SS-0064 Cognitive Agent and Its Implementation in the Blender Game Engine Environment—Janusz A. Starzyk andPawełRaif

SS-0661 Transitioning from Motivated to Cognitive Agent Model—James Graham and Janusz A. Starzyk

SS-0177 Multi-Game Playing – A Challenge for Computational Intelligence—Jacek Mandziuk, Yew Soon Ong and KarolWaledzik

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SS-0596 Perception and Prediction - A Connectionist Model—Laxmi R. Iyer and Seng-Beng Ho

SS-1002 Comprehensiveness and Interpretability of Linguistic Data Summaries: A Natural Language FocusedPerspective—Janusz Kacprzyk and Slawomir Zadrozny

Session: Special Session on General Intelligence in Embodied AgentsChair: Ben Goertzel Co-Chair: Wojciech SkabaDate/Time: 8.30 – 10.10, Thu. 18 April 2013 Venue: Cardinal Level 3

SS-0327 The Creativity Mechanisms in Embodied Agents: An Explanatory Model—Jirí Wiedermann

SS-0641 Evaluating Actuators in a Purely Information-Theory Based Reward Model—Wojciech Skaba

SS-0704 A Connectionist Model for 2-Dimensional Modal Logic—Min Jiang, Yang Yu, Fei Chao, Minghui Shi andChangle Zhou

SS-0509 The CogPrime Architecture for Embodied Artificial General Intelligence—Ben Goertzel, Shujing Ke,Ruiting Lian, Jade O’Neill, Keyvan Sadeghi, Dingjie Wang, Oliver Watkins and Gino Yu

SS-0510 A Mind-World Correspondence Principle—Ben Goertzel

Session: Various Facets of Human-like IntelligenceChair: Wlodzislaw Duch Co-Chair: Jacek MandziukDate/Time: 13.40 – 15.20, Thu. 18 April 2013 Venue: Cardinal Level 3

SS-0818 Novel Methods for Energy-Based Cultural Modeling and Simulation: Why Eight is Great in ChineseCulture—Daniel J. Olsher and Toh Heng Guan

SS-0821 Cogview & Intelnet: Nuanced Energy-Based Knowledge Representation and IntegratedCognitive-Conceptual Framework for Realistic Culture, Values and Concept-Affected SystemsSimulation—Daniel J. Olsher

SS-0997 BrainGene: Computational Creativity Algorithm that Invents Novel Interesting Names—Maciej Pilichowskiand Wlodzislaw Duch

SS-0271 Characteristics and Heuristics of Human Intelligence—David M W Powers

SS-0716 Sentic Blending: Scalable Multimodal Fusion for the Continuous Interpretation of Semantics andSentics—Erik Cambria, Newton Howard, Jane Hsu and Amir Hussain


SS-0902 Internal Control of Human Cognition – Guidance from Theory to Model the Mind—Peter G. Burton

IEEE International Workshop on Computational Intelligence in Medical Imaging(IEEE CIMI 2013)

Nowadays medical imaging provides major aid in many branches of medicine and enables and facilitates the capture, trans-mission and analysis of medical images as well as provides assistance towards medical diagnoses. Medical imaging is stillon the rise with new imaging modalities being added and continuous improvements of devices’ capabilities. Recently, com-putational intelligence techniques (such as neural networks or evolutionary algorithms) have been employed in variousapplications in the area of medical imaging. Approaches based on computational intelligence have been shown to be advan-tageous compared to classical approaches, in particular when classical solutions are hard or impossible to formulate andanalyse. The International Workshop on Computational Intelligence in Medical Imaging, held as part of the IEEE Sympo-sium Series on Computational Intelligence 2013, is envisaged as a compilation of the latest trends and developments inthe field of computational intelligence in medical imaging. CIMI 2013 is the 5th installment of the workshop which waspreviously held in Paris in 2008, in Cyprus in 2009 and in Paris in 2011.

Chair(s)Gerald SchaeferDepartment of Computer Science, Loughborough University,Loughborough, U.K., [email protected]

Sergio DamasEuropean Center for Soft Computing, Mieres, Asturias, Spain,[email protected]

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Session:Chair: Andrea Valsecchi Co-Chair: Syoji KobashiDate/Time: 8.30 – 10.10, Fri. 19 April 2013 Venue: Sharma Level 4

SS-0869 A Priori Knowledge Based Deformable Surface Model for Newborn Brain MR Image Segmentation—Syoji Kobashi, Aya Hashioka, Yuki Wakata, Kumiko Ando, Reiichi Ishikura, Kei Kuramoto, Tomomoto Ishikawa, ShozoHirota and Yutaka Hata

SS-0282 Phantom-Based Evaluation of Isotropic Reconstruction of 4-D MRI Volumes Using Super-Resolution—Eric Van Reeth, Ivan WK Tham, Cher Heng Tan and Chueh Loo Poh

SS-0841 A Fully Automatic Probabilistic 3D Approach for the Detection and Assessment of Pleural Thickenings fromCT Data—Kraisorn Chaisaowong, Chaicharn Akkawutvanich, Christoph Wilkmann and Thomas Kraus

SS-0956 Genetic Algorithms for Voxel-Based Medical Image Registration—Andrea Valsecchi, Sergio Damas,José Santamaría and Linda Marrakchi-Kacem

Session:Chair: Syoji Kobashi Co-Chair: Andrea ValsecchiDate/Time: 10.40 – 12.20, Fri. 19 April 2013 Venue: Sharma Level 4

SS-0622 Computer Aided Diagnostic System for Grading of Diabetic Retinopathy—Anam Tariq, M. Usman Akram andM. Younus Javed

SS-0850 Combining One-Class Classifiers for Imbalanced Classification of Breast Thermogram Features—Bartosz Krawczyk, Gerald Schaefer and Michal Wozniak

SS-0494 Detection of Onset of Alzheimer’s Disease from MRI Images Using a GA-ELM-PSO Classifier—S. Saraswathi,B. S. Mahanand, A. Kloczkowski, S. Suresh and N. Sundararajan

SS-0571 Lung Nodule Detection in CT Images Using Neuro Fuzzy Classifier—Anam Tariq, M. Usman Akramand M. Younus Javed

IEEE International Symposium Computational Intelligence for Multimedia Signaland Vision Processing (IEEE CIMSIVP 2013)

The International Symposium Computational Intelligence for Multimedia Signal and Vision Processing (CIMSVP) involvestheory and applications of non-traditional computational intelligence approaches in signal and vision processing. Topics forthis Symposium include:

Bio-inspired Vision, Neuronal mechanisms of visual processing, Low level vision and its relationship to biologicalmachinery, Artificial learning systems for image and information processing, Evidential reasoning for recognition, Activevisual perception, attention and robot vision, Functional Magnetic Resonance Imaging (fMRI) studies of visual segmentationand perception.

Application of computational intelligence techniques in multimedia and vision processing. The technical programattracted many interesting papers in CIMSVP related areas. The final program is grouped into three clusters such asBio-inspired visión, Artificial learning for Image Processing and Multimedia Signal/Image Processing and Databases. Thepapers in each of the clusters discuss both theoretical and applied concepts in CIMSVP.

We thank the authors, reviewers, the program committee members for CIMSVP, the panel organizers, panel speakers andthe organizers of 2013 IEEE SSCI. We hope you will enjoy the 2013 CIMSVP Symposium.

Chair(s)Khan M IftekharuddinOld Dominion University, USA

Salim BouzerdoumUniversity of Wollongong, Australia

Program Committee

Azzedine Beghdadi, Université Paris 13, France

Yoonsuck Choe, Texas A&M University, USA

Robert B. Fisher, University of Edinburgh, UK

Karl Gudmundsson, University of Iceland, Iceland

Minho Lee, Kyungpook National University, Republic of Korea

Zicheng Liu, Microsoft Research, USA

Nuria Oliver, Telefonica R&D, Barcelona, Spain

Lam Phung, University of Wollongong, Australia

Bertram Shi, Hong Kong University of Science and Technology, HongKong

Rufin VanRullen, CNRS, Toulouse, France

Fok Hing Chi Tivive, University of Wollongong, Australia

Juan Andrade Cetto, Universitat Politècnica de Catalunya, Spain

Curt H. Davis, University of Missouri, USA

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Onur Hamsici, Ohio State University, USATony X. Han, University of Missouri, USAHongjun Jia, University of North Carolina, USAJames Keller, University of Missouri, USAPascal Matsakis, University of Guelph, Canada

Pradit Mittrapiyanuruk, Srinakharinwirot University, Thailand

Johnny Park, Purdue University, USA

Hamid Tizhoosh, University of Waterloo, Canada

Patrick G Xavier, Sandia Lab, USA

Keynote: Machine Learning for Neural Engineering ApplicationsBy Dr. Justin Dauwels Chair: Paulo LisboaDate/Time: 10.30 – 11.30, Thu. 18 April 2013 Venue: Lyrebird, Level 3

Session: Bio-inspired Vision and ApplicationsChair: Chaman L. Sabharwal Co-Chair:Date/Time: 13.40 – 15.20, Thu. 18 April 2013 Venue: Sharma Level 4

SS-0570 Efficient Determination of Spatial Relations Using Composition Tables and Decision Trees—Nathan Eloe,Jennifer Leopold, Chaman Sabharwal and Douglas McGeehan

SS-0024 Smooth Transition Neighborhood Graphs for 3D Spatial Relations—Chaman L. Sabharwaland Jennifer L. Leopold

SS-0527 Biomimetic Target Detection: Modeling 2nd Order Correlation of OFF and ON Channels—Steven D. Wiederman and David C. O’Carroll

SS-0279 A Novel Algorithm for Detecting Dim Point Target in Infrared Images Based on MRF—Zhengrong Zuo andYongjian Zhao

Session: Active Vision and ApplicationsChair: Chaman L. Sabharwal Co-Chair:Date/Time: 15.50 – 17.30, Thu. 18 April 2013 Venue: Sharma Level 4

SS-0530 Robust Gesture Detection and Recognition Using Dynamic Time Warping and Multi-Class ProbabilityEstimates—Pramod Kumar Pisharady and Martin Saerbeck

SS-0188 Regularized High Temporal Resolution Fish Motion Synthesis—Jing Tian and How-Lung Eng


SS-0403 Using Fuzzy Rough Feature Selection for Image Retrieval System—Maryam Shahabi Lotfabadi,Mohd Fairuz Shiratuddin and Kok Wai Wong


SS-0562 Forward-Backward Minima Controlled Recursive Averaging to Speech Enhancement—Yeou-Jiunn Chen andJiunn-Liang Wu

SS-0217 A Survey of Target Detection Algorithms for Hyperspectral Imagery—Nagesh Poojary, M. R. Puttaswamy,Hasmitha Dsouza and G. Hemantha Kumar

IEEE Symposium on Computational Intelligence in Production and Logistics Systems(IEEE CIPLS 2013)

The management of production and logistics systems in today’s fiercely competitive environment is a difficult task and hasbecome progressively complex. Major changes in products, processes, technologies, and societies bring along remarkablechallenges and increasing market demands. Modelling and optimisation of complex problems arising in production andlogistics systems is of paramount importance in surviving and achieving competitive gains in productivity and quality.

Within this context, the IEEE Symposium on Computational Intelligence in Production and Logistics Systems (CIPLS)aims to address all issues related to the design, planning, control, and continuous improvement of production and logistics

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systems using computational intelligence techniques. In the inaugural CIPLS 2011, which was held in Paris, we received 22submissions and accepted 8 full papers. CIPLS 2013 is the second one, and we were delighted to have received 28 submis-sions. Among them, we have accepted 19 papers and rejected 9. These papers cover a wide variety of methodologies, rang-ing from conventional search methods to unconventional nature-inspired algorithms, and tackled various types of problemsincluding transportation scheduling, assembly line balancing, logistics planning and vehicle routing, among others.

We would like to thank all the authors for their contributions, and the program committee members for their effortsthroughout the reviewing process. Without them, this event would not have been possible.

Finally, we would also like to thank Ponnuthurai Nagaratnam Suganthan, the general chair of the IEEE Symposium Serieson Computational Intelligence 2013, for his coordination and assistance.

Co-Chair(s)Bülent CataySabanci University, Turkey

Raymond ChiongThe University of Newcastle, Australia

Patrick SiarryUniversité Paris XII Val de Marne, France

Program Committee

Enrique Alba, University of Málaga, Spain

Bernardo Almada-Lobo, University of Porto, Portugal

Panagiotis Angeloudis, Imperial College London, UK

Tolga Bektas, University of Southampton, UK

Christian Bierwirth, University Halle-Wittenberg, Germany

Héctor Cancela, University of the Republic, Uruguay

Maurice Clerc, http://mauriceclerc.net, France

Moussa Diaf, University of Tizi-Ouzou, Algeria

Deniz Türsel Eliiyi, Izmir University of Economics, Turkey

Mourad Fakhfakh, University of Sfax, Tunisia

Martin Grunow, Technical University of Munich, Germany

Richard Hartl, University of Vienna, Austria

Florian Jaehn, University of Augsburg, Germany

Joerg Laessig, University of Applied Sciences Zittau/Goerlitz, Ger-many

Guohua Ma, Wentworth Institute of Technology, USA

Frank Meisel, University Halle-Wittenberg, Germany

Zbigniew Michalewicz, University of Adelaide, Australia

Arvind Mohais, SolveIT Software Pty Ltd, Australia

Nicolas Monmarché, University of Tours, France

Luc Muyldermans, University of Nottingham, UK

Sylvie Norre, Blaise Pascal University, France

Ceyda Oguz, Koc University, Turkey

Temel Öncan, Galatasaray University, Turkey

Erwin Pesch, University of Siegen, Germany

Henri Pierreval, Clermont University, France

Miguel A Salido, Polytechnic University of Valencia, Spain

Guillaume Sandou, Supelec, France

Ruhul A Sarker, University of New South Wales, Australia

Sven Schellenberg, SolveIT Software Pty Ltd, Australia

Claudio Toledo, University of Sao Paulo, Brazil

Özgür Toy, Turkish Naval Academy, Turkey

Stefan Voß, University of Hamburg, Germany

Thomas Weise, University of Science and Technology of China, China

Farouk Yalaoui, Technical University of Troyes, France

Rui Zhang, Nanchang University, China

Session: CIPLS - Logistics IChair: Tolga Bektas Co-Chair: Raymond ChiongDate/Time: 13.40 – 15.20, Thu. 18 April 2013 Venue: Canary II Level 4

SS-0215 A Task Based Approach for A Real-World Commodity Routing Problem—Jianjun Chen, Ruibin Bai, Rong Quand Graham Kendall

SS-0264 Balancing Tour Durations in Routing a Vehicle Fleet—Tolga Bektas

SS-0614 Time-Differentiated Service Parts Distribution: Costs Under Hierarchical and Non-HierarchicalSetups—Mohsin Nasir Jat and Luc Muyldermans

SS-0950 Stacking Under Uncertainty: We Know How to Predict, But How Should We Act?—Hado van Hasseltand Han La Poutré

SS-0378 Equivalent Machine Method for Approximate Evaluation of Buffered Unreliable Production Lines—Yassine Ouazene, Hicham Chehade, Alice Yalaoui and Farouk Yalaoui

Session: CIPLS - Special Session on Scalable Evolutionary Logistics PlanningChair: Thomas Weise Co-Chair: Jörg Lässig, Alexandre Devert and Yi MeiDate/Time: 8.30 – 10.10, Fri. 18 April 2013 Venue: Canary II Level 4

SS-0371 An Agent-Based Approach for Transportation Scheduling in Developing Countries—Emanuel Federico Alsinaand Giacomo Cabri

SS-0550 Evolved Multi-Agent Systems and Thorough Evaluation are Necessary for Scalable Logistics—Rinde R. S. van Lon and Tom Holvoet

SS-0621 Agent-Based Dispatching in Groupage Traffic—Max Gath, Stefan Edelkamp and Otthein Herzog

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SS-0186 Optimization of Crew Scheduling with Uniform Work Distribution: A New Approach Using GeneticAlgorithm—R. Sasikumar, Harikrishna Pai and T. G. Pradeepmon

SS-0461 Line-Based Optimization of LTL-Shipments Using a Multi-Step Genetic Algorithm—Christian Tummel,Tobias Pyttel, Philipp Wolters, Eckart Hauck and Sabina Jeschke

Session: CIPLS - Logistics IIChair: M. Fatih Tasgetiren Co-Chair: Raymond ChiongDate/Time: 10.40 – 12.20, Fri. 18 April 2013 Venue: Canary II Level 4

SS-0247 SDGP: A Developmental Approach for Traveling Salesman Problems—Jin Ouyang, Thomas Weise,Alexandre Devert and Raymond Chiong

SS-0363 Discrete Paired-Bacteria Optimizer for Solving Traveling Salesman Problem—M. S. Li, T. Y. Ji and Q. H. Wu

SS-0714 Discrete PSO for the Uncapacitated Single Allocation Hub Location Problem—Alexander Bailey,Beatrice Ombuki-Berman and Stephen Asobiela

SS-0256 A Discrete Artificial Bee Colony Algorithm for the Team Orienteering Problem with Time Windows—Korhan Karabulut and M. Fatih Tasgetiren

SS-0743 Solving the Biobjective Selective Pickup and Delivery Problem with Memetic Algorithm—Xin-Lan Liao andChuan-Kang Ting

Session: CIPLS - ProductionChair: Rui Zhang Co-Chair: Raymond ChiongDate/Time: 13.40 – 15.20, Fri. 18 April 2013 Venue: Canary II Level 4

SS-0344 An Improved Genetic Algorithm with Local Search for Order Acceptance and Scheduling Problems—Chen Cheng, Zhenyu Yang, Lining Xing and Yuejin Tan

SS-0880 A Genetic Algorithm for the Balancing and Sequencing Problem in the Mixed-Model U-Line—Yang Zhan andRui Zhang

SS-0233 Metaheuristic Algorithms for the Quadratic Assignment Problem—M. Fatih Tasgetiren, Quan-Ke Pan,P. N. Suganthan and Ikbal Ece Dizbay

SS-0106 System for Product-Based Control of Production Processes—Martin Ostgathe and Michael F. Zaeh

IEEE Symposium on Computational Intelligence in Rehabilitation and AssistiveTechnologies (IEEE CIRAT 2013)

Millions of individuals experience impaired mobility usually accompanied by limited to no manual dexterity. The ”cost"associated with these disabilities includes not only those incurred through medical and support services, but also less tan-gible costs, such as those due lost wages and non-productivity. The goals of rehabilitation are to ameliorate life-limitingdisabilities and facilitate community re-entry. While restoration of function is the most positive outcome of rehabilitation,compensatory strategies are also employed when natural function cannot be restored. A particularly promising approach isthe use of assistive technologies to extend an individual’s functionality and substitute for compromised functions.

CIRAT 2013 is the first edition of the biannual IEEE Symposium in Rehabilitation and Assistive Technologies. The sym-posium highlights the latest results from world leading research labs and industry in the field of rehabilitation and assistivetechnologies. It brings together researchers from various disciplines, including: rehabilitation robotics and telemanipulation;improvement in quality of daily living; assistive recovery from stroke; enhanced mobility and function for individuals withsevere disabilities; tele-rehabilitation; wheelchair transportation; wheeled mobility; communication enhancement; hearingenhancement; assistance to the blind, robotic prosthesis and orthotics; recreational technologies and exercise physiologybenefiting persons with disabilities; etc.

Chair Co-ChairGui N. DeSouzaUniversity of Missouri, USA

Shuzhi Sam GeNational University of Singapore, Singapore

Program Committee

Siavash Farzan, University of Missouri, USA

Elliott Forney, Colorado State University, USA

Marc Hansen, University of Missouri, USA

William Harwin, University of Reading, UK

Takuya Hashimoto, Tokyo University of Science, Japan

Kazuo Kiguchi, Kyushu University, Japan

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Georgios Kouroupetroglou, University of Athens, Greece

Rui Loureiro, Middlesex University, UK

Guannan Lu, University of Missouri, USA

James Patton, University of Illinois at Chicago, USA

Luis Rivera, University of Missouri, USA

Andrea Scheidig, Ilmenau University of Technology, Germany

Patrick Wang, East China Normal University, China

Yijun Wang, University of California San Diego, USA

Session: Rehabilitation and TrainingChair: Shuzhi Sam Ge Co-Chair: Luis RiveraDate/Time: 8.30 – 10.10, Thu. 18 April 2013 Venue: Nightingale Level 4

SS-0175 A Novel Hand Strength Assessment Method Integrated into Haptic Knob for StrokeRehabilitation—Longjiang Zhou, Kai Keng Ang, Chuanchu Wang, Kok Soon Phua and Cuntai Guan

SS-0340 Classification of Silent Speech Using Adaptive Collection—Mariko Matsumoto and Junichi Hori

SS-0334 Real-Time Upper-Body Detection and Orientation Estimation Via Depth Cues for AssistiveTechnology—Guang Yang, Mamoru Iwabuchi and Kenryu Nakamura

SS-0975 Handheld Device Based Personal Auditory Training System to Hearing Loss—Yeou-Jiunn Chen,Chia-Jui Chang, Jiunn-Liang Wu, Yi-Hui Lin and Hui-Mei Yang

Session: Assistive Devices and SensorsChair: Ricardo Gudwin Co-Chair: Ang Kai KengDate/Time: 10.40 – 12.20, Thu. 18 April 2013 Venue: Nightingale Level 4

SS-0984 Control of a Wheelchair Using an Adaptive K-Means Clustering of Head Poses—Luis A. Rivera, G. N. DeSouzaand L. D. Franklin

SS-0649 A Biomimetic Similarity Index for Prosthetic Hands—Nayan M. Kakoty and Shyamanta M. Hazarika

SS-0312 Effects of Behavior Network as a Suggestion System to Assist BCI Users—Klaus Raizer, Eric Rohmer,André L. O. Paraense and Ricardo R. Gudwin

SS-0248 Gesture Recognition System for Wheelchair Control Using a Depth Sensor—Noriyuki Kawarazakiand Alejandro Israel Barragan Diaz

IEEE Symposium on Computational Intelligence in Scheduling (IEEE CISched 2013)

Welcome to the 2013 IEEE Symposium on Computational Intelligence in Scheduling (CISched’2013) at the 2013 IEEE Sym-posium Series on Computational Intelligence (SSCI’2013) at Signapore! This is the 4th symposium on Computational Intel-ligence in Scheduling at IEEE SSCI, after CISched’07 at Hawaii, CISched’09 at Nashville, CISched’11 at Paris.

CISched aims to bring together world leading researchers and practitioners in all aspects of Computational Intelligenceto a wide range of scheduling problems, which remain highly challenging in the current research. A significant amount ofresearch effort has been made to explore evolutionary computation, neural networks, swarm intelligence, fuzzy logic, andtheir hybridizations, etc.

The programme of CISched’13 features 13 full papers representing the state-of-the-art research in scheduling. Problemsconcerned include production scheduling as well as a range of complex real world scheduling problems.

We would like to express our gratitude to the Programme Committee members who have worked very hard to reviewsymposium submissions. Special thanks also to the Organising Committee which organized the series of symposium. Weare also grateful to all authors and delegates. On behalf of the CISched’2013 Programme Committee, we welcome you all toSingapore. We hope you enjoy your stay here!

Co-Chair(s)Rong QuUniversity of Nottingham, UK

Ling WangTsinghua University, China

Quanke PanLiaocheng University, China

Program Committee

Artigues Christian, LAAS-CNRS, France

Ayob Masri, University Kebangsaan Malaysia, Malaysia

Bai Ruibin, University of Nottingham, UK

Beullens Patrick, University of Portsmouth, UK

Bulut Onder, Yasar University, Turkey

Cheong Chun Yew, Institute of High Performance Computing,

ASTAR, Singapore

Chen Shih-Hsin, Nanhua University, Taiwan

Chiang Tsung-Che, National Taiwan Normal University, Taiwan

He Fang, University of Nottingham, UK

Landa-Silva Dario, University of Nottingham, UK

Lepping Joachim, INRIA Rhone-Alpes, France

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Li Jingpeng, University of Nottingham, UK

Jing Liu, Xidian University, China

Liu Jiyin, Loughborough University, UK

Lu Zhipeng, Huazhong University of Science and Technology, China

Ma Guohua, Wentworth Institute of Technology, USA

Madureira Ana, Instituto Superior de Engenharia do Porto, Portugo

Maenhout Broos, Ghent University, Belgium

Manier Marie-Ange, University of Technology of Belfort Montbeliard,France

Mendiburu Alexander, University of the Basque Country, Spain

Musliu Nysret, Vienna University of Technology, Austria

Norre Sylvie, LIMOS, France

Oguz Ceyda, Koc University, Turkey

Ozcan Ender, University of Nottingham, UK

Pan Quanke, Liaocheng University, China

Parkes Andrew, University of Nottingham, UK

Pesch Erwin, Universitat Siegen, Germany

Pillay Nelishia, University of KwaZulu-Natal, South Africa

Qu Rong, University of Nottingham, UK

Rudova Hana, Masaryk University, Czech Republic

Sevaux Marc, Université de Bretagne-Sud, France

Shen Yindong, Huazhong University of Science and Technology, China

Vanden Berghe Greet, KaHo St.-Lieven, Belgium

Wang Ling, Tsinghua University, China

Xiong Jian, National University of Defense Technology, China

Xu Ying, Hunan University, China

Yen Shi-Jim, National Dong Hwa Uni., Taiwan

Zinder Yakov, University of Technology, Sydney, Australia

Session: Schediling and Applictions IChair: Ling Wang Co-Chair: Rong QuDate/Time: 8.30 – 10.10, Thu. 18 April 2013 Venue: Canary II Level 4

SS-0034 An Estimation of Distribution Algorithm for the Multi-Objective Flexible Job-Shop SchedulingProblem—Shengyao Wang, Ling Wang, Min Liu and Ye Xu

SS-0285 An Enhanced Migrating Birds Optimization Algorithm for No-Wait Flow Shop Scheduling Problem—K. Z. Gao, P. N. Suganthan and T. J. Chua

SS-0402 Multiobjective Genetic Algorithm for Demand Side Management of Smart Grid—Xiao-Min Hu, Zhi-Hui Zhan,Ying Lin, Yue-Jiao Gong, Wei-Jie Yu, Yao-Xiu Hu and Jun Zhang

SS-0666 A DE-Based Algorithm for Reentrant Permutation Flow-Shop Scheduling with Different Job ReentrantTimes—Bin Qian, Jing Wan, Bo Liu, Rong Hu and Guo-Lin Che

Session: Schediling and Applictions IIChair: Rolf Dornberger Co-Chair: Quanke PanDate/Time: 10.40 – 12.20, Thu. 18 April 2013 Venue: Canary II Level 4

SS-0173 An Approach of Solving Itinerary Construction Problems Using Real Life Data—Marvin Kückens,Rolf Dornberger and Thomas Hanne

SS-0263 Coordination Mechanism of Maintenance Scheduling Using Modified PSO in a Restructured PowerMarket—Kaliyamoorthy Suresh and Narayanan Kumarappan

SS-0472 Algorithm and Knowledge Engineering for the TSPTW Problem—Stefan Edelkamp, Max Gath, Tristan Cazenaveand Fabien Teytaud

SS-0575 A Hybrid Metaheuristic Method for Dispatching Automated Guided Vehicles in Container Terminals—Li Qin Song and Shell Ying Huang


SS-0375 Hybrid Harmony Search for Nurse Rostering Problems—Mohammed A. Awadallah, Ahamad Tajudin Khader,Mohammed Azmi Al-Betar and Asaju La’aro Bolaji

SS-0903 Lagrangian Heuristic for Scheduling a Steelmaking-Continuous Casting Process—Kun Mao, Quanke Pan andM. Fatih Tasgetiren

SS-0122 A Ripple-Spreading Algorithm to Calculate the k Best Solutions to the Project Time ManagementProblem—Xiao-Bing Hu, Ming Wang, Xiao-Bing Hu, Mark S. Leeson, Qiong Sun and Ezequiel Di Paolo

IEEE Symposium on Computational Intelligence for Security and DefenseApplications (IEEE CISDA 2013)

Given the current global security environment, there has been increased interest within the security and defense communi-ties in novel techniques for solving challenging problems. The genesis of this interest lies in the fact that repeated attempts

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of using traditional techniques have left many important problems unsolved, and in some cases, not addressed. New prob-lems have emerged within the broad areas of security and defense that are difficult to tackle with conventional methods,thus requiring new techniques for detecting and adapting to emerging threats. The purpose of the symposium is to presentcurrent and ongoing efforts in computational intelligence (e.g., neural networks, fuzzy systems, evolutionary computation,swarm intelligence, and other emerging learning or optimization techniques) as applied to security and defense problems.

The final technical program consists of 17 papers selected from 25 submissions. We hope you will find the symposiumvery interesting, and you will enjoy haring time with your colleagues and friends during symposium to exchange ideas.

Chair Co-Chair(s)Akira NamatameNational Defense, Academy, Japan

Rami AbielmonaLarus Technologies, Corporation, Canada

Nur Zincir-Heywood DalhousieUniversity, Canada

Program Committee

Hussein Abbass, University of New South Wales, Australia

Lam Bui, Le Quy Don University, Viet Nam

Rodrigo Calvo, University of Sao Paulo, Brazil

Ray-I Chang, National Taiwan University, Taiwan

Sung-Bae Cho, Yonsei University, Republic of Korea

Juan Manuel Corchado, University of Salamanca, Spain

James Dankert, BAE Systems, United States

John Gallagher, Wright State University, United States

Robert Karlsen, US Army – TARDEC, United States

Paul E. Keller, Pacific Northwest National Laboratory, United States

Gary Lamont, Air Force Institute of Technology, United States

Zne-Jung Lee, Huafan University, Taiwan

Christopher Lowrie, Physicist, United States

Simon Miller, University of Nottingham, United Kingdom

Frank Moore, University of Alaska Anchorage, United States

Andrew Neel, The University of Memphis, United States

Gustavo Pessin, University of Sao Paulo, Brazil

Kiruthika Ramanathan, Data Storage Institute, Singapore

Arthur Ramer, University of New South Wales, Australia

Garrett Rose, Air Force Research Laboratory, United States

Fabio Ruini, Plymouth University, United Kingdom

Hung-H. Tsai, National Formosa University, Taiwan

Antony Waldock, BAE Systems, United Kingdom

Bryant Wysocki, AFRL, United States

Matthias Reuter, TU Clausthal, Germany

Axel Bender, Defence Science and Technology Organisation, Australia

Bob McKay, Seoul National University, Republic of Korea

Michael Grimaila, Air Force Institute of Technology, United States

Sankardas Roy, Kansas State University, United States

Sujit P. B, University of Porto, Portugal

Keynote: Intelligent Systems for Flight ControlBy Prof. Narasimhan Sundararajan Chair: Sundaram SureshDate/Time: 11.30 – 12.30, Wed. 17 April 2013 Venue: Lyrebird, Level 3

Session: Developing Tactics and Red TeamingChair: Akira Namatame Co-Chair: Cheong Siew AnnDate/Time: 8.30 – 10.10, Tue. 16 April 2013 Venue: Kingfisher Level 4

SS-0137 Evolving Team Tactics Using Potential Fields—Michael Oberberger, Sushil J. Louis and Monica Nicolescu

SS-0317 Positioning of Military Combat Units Through Weight-Based Terrain Analysis Using NASA WorldWind—Sharvari Shridharan, Raj Kumar and S. K. Pundir

SS-0953 Comparing Heuristic Search Methods for Finding Effective Real-Time Strategy Game Plans—Christopher Ballinger and Sushil Louis

SS-0415 Testing a Distributed Denial of Service Defence Mechanism Using Red Teaming—Samaneh Rastegari,Philip Hingston, Chiou-Peng Lam and Murray Brand

Session: UAV and Behavior DevelopmentChair: Cheong Siew Ann Co-Chair: Akira NamatameDate/Time: 10.40 – 12.20, Tue. 16 April 2013 Venue: Kingfisher Level 4

SS-0617 Multiple UAV Area Decomposition and Coverage—J. F. Araújo, P. B. Sujit and J. B. Sousa

SS-0800 Cooperative Path Planning for UAVs with UAV Loss Considerations—Mingsheng Gao, Jun Jiang,NG Kien Ming, Teo Kwong Meng and Kim-Leng Poh

SS-0809 Cooperative Communication of UAV to Perform Multi-Task Using Nature Inspired Techniques—J. Senthilnath, S. N. Omkar, V. Mani and Anurag R. Katti

SS-0315 Neural Adaptive Flight Controller for Ducted-Fan UAV Performing Nonlinear Maneuver—R. Aruneshwaran,S. Suresh, Wang Jianliang and T. K. Venugopalan

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Session: Obstacle Avoidance and Intelligent ControlChair: Michael, Oberberger Co-Chair: Mingsheng GaoDate/Time: 13.40 – 15.20, Tue. 16 April 2013 Venue: Kingfisher Level 4

SS-0476 A Novel Obstacle Avoidance Control Algorithm in a Dynamic Environment—Galib Rahaman Mallikand Arpita Sinha

SS-0599 Design of a Nonlinear Dynamic Inversion Controller for Trajectory Following and Maneuvering for FixedWing Aircraft—Abhay A. Pashilkar, Shaik Ismail, Ramakalyan Ayyagari and Narasimhan Sundararajan

Session: Learning and ControlChair: Ryusuke Hohzaki Co-Chair: Michael, OberbergerDate/Time: 8.30 – 10.10, Wed. 17 April 2013 Venue: Kingfisher Level 4

SS-0341 Investigating Application Behavior in Network Traffic Traces—Vahid Aghaei Foroushaniand A. Nur Zincir-Heywood

SS-0071 BSB Training Scheme Implementation on Memristor-Based Circuit—Miao Hu, Hai Li, Yiran Chen, Qing Wu andGarrett S. Rose

SS-0471 A Comparison of Artificial Neural Network Performance: The Case of Neutron/Gamma Pulse ShapeDiscrimination—Tatiana Tambouratzis, Dina Chernikova and Imre Pázsit

SS-0563 Improved Autolanding Controller for Aircraft Encountering Unknown Actuator Failures—Shaik Ismail,Abhay A. Pashilkar, Ramakalyan Ayyagari and N. Sundararajan


SS-0015 A Patrol Problem in a Building by Search Theory—Ryusuke Hohzaki, Syuhei Morita and Yoshiharu Terashima

IEEE Symposium on Computational Intelligence in Vehicles and TransportationSystems (IEEE CIVTS 2013)

The goal of this symposium is to provide a forum for participants from industry, academic, and non-profit organizations toexchange innovative ideas on intelligent vehicles, their systems, and related manufacturing processes. We welcome papersfrom all areas of computational intelligence demonstrating applications of theoretical advances to modern and future vehi-cles and vehicular systems (engine, transmissions, actuators, sensors, networks, communications, interfaces, etc.) and relatedmanufacturing technologies. Although the focus of the symposium is on the application aspects of CI, papers describingsimulation-only results are also solicited.

Co-Chair(s)Dipti SrinivasanNational University of Singapore

Justin DauwelsNanyang Technological University, Singapore

Program Committee

Plamen Angelov, Lancaster University, UKAlberto Broggi, University of Parma, ItalyGeorge Bebis, University of Nevada, USALuis M. Bergasa, University of Alcala, SpainOleg Gusikhin, Ford Research, USAIlya Kolmanovsky, University of Michigan, USAJohn Krumm, Microsoft Research, USARudolf Kruse, University of Magdeburg, GermanyT.T. Lee, National University of Technology, TaiwanRaj Madhavan, NIST, USASeichi Mita, Toyota Tech Institute, JapanYi L. Murphey, University of Michigan-Dearborn, USA

Hiroshi Nakajima, Omron, Japan

Yoshiki Ninomiya, Toyota Central R & D Labs, Japan

Urbano Nunes, University of Coimbra, Portugal

Krishna Pattipati, University of Connecticut, USA

Luigi del Re, JKU, Austria

Thomas Runkler, Siemens Research, Germany

Nestor Rychtycki, Ford Research, USA

Kazuya Takeda, Nagoya University, Japan

Mohan Trivedi, UCSD, USA

Hans J Wuensche, University of Bundeswehr, Germany

Yilu Zhang, GM, USA

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Keynote: Autonomy and the Future of Urban MobilityBy Dr. Emilio Frazzoli Chair: Justin DauwelsDate/Time: 9.30 – 10.30, Wed. 17 April 2013 Venue: Galleria Ballroom, Level 3

Session: Traffic optimization and control-1Chair: Dipti Srinivasan Co-Chair: Justin DauwelsDate/Time: 10.40 – 12.20, Wed. 17 April 2013 Venue: Kingfisher Level 4

SS-0135 A Real-Time Visual-Based Front-Mounted Vehicle Collision Warning System—Chiung-Yao Fang,Jui-Hung Liang, Chiao-Shan Lo and Sei-Wang Chen

SS-0668 Evolving Intelligent Vehicle Control Using Multi-Objective NEAT—W. H. van Willigen, Evert Haasdijkand L. J. H. M. Kester

SS-0884 An Approximate Bus Route Planning Algorithm—Ow Yi Xian, Mandar Chitre and Daniela Rus

SS-0905 Single Intersection Signal Control Based on Type-2 Fuzzy Logic—Yunrui Bi, Dipti Srinivasan, Xiaobo Lu andZhe Sun

Session: Traffic optimization and control-2Chair: Justin Dauwels Co-Chair: Dipti SrinivasanDate/Time: 13.40 – 15.20, Wed. 17 April 2013 Venue: Kingfisher Level 4

SS-0930 Freeway Ramp Metering by Macroscopic Traffic Scheduling with Particle Swarm Optimization—Xinjie Zhao,Jianxin Xu and Dipti Srinivasan

SS-0952 Mining Traffic Accident Features by Evolutionary Fuzzy Rules—Pavel Krömer, Tibebe Beshah, Dejene Ejigu,Václav Snášel, Jan Platoš and Ajith Abraham

SS-0966 Data Compression Techniques for Urban Traffic Data—Muhammad Tayyab Asif, Srinivasan Kannan,Justin Dauwels and Patrick Jaillet

SS-0885 The Probe Allocation Problem—Ow Yi Xian, Mandar Chitre and Daniela Rus

SS-1030 Real-Time Urban Traffic Information Extraction from GPS Tracking of a Bus Fleet—Evangelos Denaxas,Savvas Mpollas, Dimitrios Vitsios, Christoforos Zolotas, Dimitris G. Bleris, Georgios M. Spanosand Nikos P. Pitsianis

Session: Air traffic prediction and controlChair: Justin Dauwels Co-Chair: Dipti SrinivasanDate/Time: 15.50 – 17.30, Wed. 17 April 2013 Venue: Kingfisher Level 4

SS-0996 Control on Air Fuel Ratio of SI Engines Using Neural Network-Based Feedforward Method—Yujia Zhai andDingli Yu

SS-0538 An Evolutionary Goal-Programming Approach Towards Scenario Design for Air-Traffic Human-PerformanceExperiments—Rubai Amin, Jiangjun Tang, Mohamed Ellejmi, Stephen Kirby and Hussein A. Abbass

SS-0682 Real Time Prediction of Worst Case Air Traffic Sector Collision Risk Using EvolutionaryOptimization—Sameer Alam, Murad Hossain, Chris Lokan, Steve Barry, Geoff Aldis, Robert Butcherand Hussein Abbass

SS-0783 Linguistic Model for Engine Power Loss—Janos Grantner, Bradley Bazuin, Jumana Al-shawawreh, Liang Dong,Matthew P. Castanier and Shabbir Hussain

SS-0314 Computationally Inexpensive Labeling of Appearance Based Navigable Terrain for AutonomousRovers—Prabhakar Mishra and Anirudh Viswanathan

IEEE Symposium on Evolving and Adaptive Systems(IEEE EAIS 2013)

The truly intelligent systems should be dynamically evolving and be able to adapt and learn autonomously. The conceptof evolving intelligent systems was established recently as a synergy between conventional systems, neural networks andfuzzy systems as structures for information representation and real time methods for machine learning. This emerging area

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targets non-stationary processes by developing novel on-line learning methods and computationally efficient algorithms forreal- time applications.

One of the important research challenges today is to develop methodologies, concepts, algorithms and techniquestowards the design of intelligent systems with a higher level of flexibility and autonomy, so that the systems can evolvetheir structure and knowledge of the environment and ultimately — autonomously learn and evolve their intelligence. Thatis, the system must be able to evolve, to self-develop, to self-organize, to self-evaluate and to self-improve.

Wireless sensor networks, assisted ambient intelligence, embedded soft computing diagnostics and prognostics algo-rithms, intelligent agents, smart evolving sensors; autonomous robotic systems etc. are some of the natural implementationareas of evolving and adaptive intelligent systems. EAIS’13 continues the tradition set by the previous forums (EFS’06,GEFS’08, ESDIS’09, EIS’10, EAIS-2011, EAIS-2012) and is supported and organized by the Adaptive and Evolving FuzzySystems (AEFS) Task Force, FSTC, CIS, IEEE. The next year Symposium will be held 2 – 4 June 2014 in Linz, Austria. Wel-come to Singapore! Wishing you a productive and joyful stay.Looking forward to the next meeting in Linz next year.

Co-Chair(s)Plamen AngelovLancaster University, UK

Nik KasabovAUT, New Zealand

Dimitar FilevFord, USA

Program Committee

Jose Rubio Avila, UA-IPN, Mexico

Rashmi Dutta Baruah, IIT , India

Abdelhamid Bouchachia, University of Bournemouth, UK

Richard Duro, University of La Coruna, Spain

Ana Belen Cara, University of Granada, Spain

Damien Coyle, Ulster University, UK

Mario Gongora, De Monfort University, Leicester, UK

Fernando Gomide, University of Campinas, Brazil

Jose Antonio Iglesias, University Carlos III, Spain

Janusz Kacprzyk, Polish Academy of Sciences, Poland

Andre Lemos, University of Campinas, Brazil

Gang Leng, Ulster University, UK

Edwin Lughofer, University of Linz, Austria

Moamar Sayed Mouchaweh, University of Reims, France

Witold Pedrycz, University of Alberta, Canada

Fernando Pouzols, Aalto University, Finland

Ignacio Rojas, University of Granada, Spain

Dick Scott, University of Alberta, Canada

Joao Sousa, Technical University of Lisbon, Portugal

Igor Skrjanc, University of Ljubljana, Slovenia

Gancho Vachkov, South Pacific University, Fiji

Di Wang, Khalifa University, UAE

Ronald Yager, Iona College, NY, USA

Xiaojun Zeng, Manchester University, UK

Keynote: Evolving fuzzy systems: A Granular Computing Design FrameworkBy Prof. Witold Pedrycz Chair: Bernadette Bouchon-MeunierDate/Time: 13.30 – 14.30, Thu. 18 April 2013 Venue: Galleria Ballroom, Level 3

Session: Methodology of EAISChair: Igor Skrjanc Co-Chair: Christophe MarsalaDate/Time: 8.30 – 10.10, Thu. 18 April 2013 Venue: Pelican Level 4

SS-0986 Robust Evolving Cloud-Based Controller for a Hydraulic Plant—Plamen Angelov, Igor Škrjanc and Sašo Blažic

SS-0307 Resolving Global and Local Drifts in Data Stream Regression Using Evolving Rule-Based Models—Ammar Shaker and Edwin Lughofer

SS-0970 Fuzzy Decision Trees for Dynamic Data—Christophe Marsala

SS-0989 Dynamic and Evolving Fuzzy Concept Lattices—T. P. Martin

SS-0719 Adapting Meeting Tools to Agent Decision—João Barreto, Isabel Praça, Tiago Pinto, Tiago M. Sousa and Zita Vale

Session: Evolving and Intelligent ClassifiersChair: Christophe Marsala Co-Chair: Trevor MartinDate/Time: 10.40 – 12.20, Thu. 18 April 2013 Venue: Pelican Level 4

SS-0171 eVQ-AM: An Extended Dynamic Version of Evolving Vector Quantization—Edwin Lughofer

SS-0318 A Meta-Cognitive Interval Type-2 Fuzzy Inference System Classifier and Its Projection Based LearningAlgorithm—K. Subramanian, R. Savitha and S. Suresh

SS-0644 Ensemble Method Based on Individual Evolving Classifiers—José Antonio Iglesias, Agapito Ledezmaand Araceli Sanchis

SS-0455 Learning Imbalanced Classes in the Presence of Concept Growth—Wing Yee Sit and K. Z. Mao

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SS-1025 Predicted Probability Enhancement for Multi-Label Text Classification Using Class Label PairAssociation—Mohammad Salim Ahmed, Sourabh Jain, Fahad Bin Muhaya and Latifur Khan

Session: Applications of EAISChair: Jose Iglesias Co-Chair: Denis KolevDate/Time: 15.50 – 17.30, Thu. 18 April 2013 Venue: Pelican Level 4

SS-0631 Evolving Systems for Computer User Behavior Classification—José Antonio Iglesias, Agapito Ledezma andAraceli Sanchis

SS-0670 Controlling Evaluation Duration in On-Line, On-Board Evolutionary Robotics—Atta-Ul-Qayyum Arif,Dimitar G. Nedev and Evert Haasdijk

SS-0533 ARFA: Automated Real-Time Flight Data Analysis Using Evolving Clustering, Classifiers and RecursiveDensity Estimation—Denis Kolev, Plamen Angelov, Garegin Markarian, Mikhail Suvorov and Sergey Lysanov

SS-0097 A Fuzzy-Genetic Tactical Resource Planner for Workforce Allocation—Ahmed Mohamed, Hani Hagras,Sid Shakya and Gilbert Owusu

SS-0288 Online Identification of Complex Multi-Input-Multi-Output System Based on Generic Evolving Neuro-FuzzyInference System—Mahardhika Pratama, Sreenatha G. Anavatti, Matthew Garratt and Edwin Lughofer


SS-0517 An Agent Based Model of Stress in the Workplace—Daniel Ashlock and Matthew Page

SS-0758 Network Robustness and Topological Characteristics in Scale-Free Networks—Dharshana Kasthurirathna,Mahendra Piraveenan and Gnanakumar Thedchanamoorthy

SS-0477 Evolution of a Digital Organism Playing Go—Christian Alt and Helmut A. Mayer

SS-0395 An Ensemble Based Genetic Programming System to Predict English Football Premier LeagueGames—Tianxiang Cui, Jingpeng Li, John R. Woodward and Andrew J. Parkes

SS-1026 The IEEE Computer Society Smart Grid Vision Project Opens Opportunites for ComputationalIntelligence—David Cartes, Joe H. Chow, Dan McCaugherty, Steve Widergren and G. Kumar Venayagamoorthy

IEEE Symposium on Foundations of Computational Intelligence (IEEE FOCI 2013)

Singapore hosts the forth IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2013). This international eventbrings together at one location several symposia running concurrently, each highlighting various aspects of computationalintelligence, and will attract top researchers, practitioners, and students from around the world to discuss the latest advancesin the field of computational intelligence.

Computational intelligence techniques have proven useful after numerous applications in real world problems. However,there is much work to be done in order to fully understand the theoretical foundations of such techniques. IEEE FOCI’13,provides an ideal forum for those who are interested in the fundamental issues of computational intelligence to exchangetheir ideas and present their latest findings.

IEEE FOCI 2013 will focus on fundamental theoretical and practical foundations of computational intelligence, includingbut not limited to neural networks, fuzzy logic, evolutionary computation, and other machine learning methods. The sym-posium will put equal emphasis on theoretical and practical work as long as it addresses the foundations of computationalintelligence.

Symposium Co-Chair(s)Manuel Ojeda-AciegoUniversity of Malaga, Spain

Carlos CottaUniversity of Malaga, SpainLeonardo FrancoUniversity of Malaga, Spain

Program Committee

Ajith Abraham, USA

Michael Affenzeller, Austria

John Aleshunas, USA

Jhon E. Amaya, Venezuela

Gabriela Andrejková, Slovakia

Martin Anthony, UK

B.V. Babu, India

Valentina Balas, Romania

Fernando Bobillo, Spain

Alberto Bugaírn, Spain

Humberto Bustince, Spain

Juan Luis Castro Peña, Spain

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Uday Chakraborty, USA

Tianshi Chen, China

Ying-Ping Chen, Taiwan

Sung-Bae Cho, Korea

Agata Ciabattoni, Austria

Pablo Cordero, Spain

Bhaskar DasGupta, USA

Bernard De Baets, Belgium

Enrique Domínguez Merino, Spain

Didier Dubois, France

Patrik Eklund, Sweden

David Elizondo, UK

Antonio J. Fernández Leiva, Spain

Javier Fernandez, Spain

Pablo M. Gleiser, Argentina

Lluís Godo, Spain

Fernando Gomide, Brazil

Jun He, UK

Francisco Herrera, Spain

César Hervás, Spain

Kaoru Hirota, Japan

Samuelson W. Hong, China

Tsan-sheng Hsu, Taiwan

José Jerez Aragonés, Spain

Janusz Kacprzyk, Poland

Ryotaro Kamimura, Japan

Sami Khuri, USA

Stanislav Krajci, Slovakia

Vladik Kreinovich, USA

Aristidis Likas, Greece

Paulo Lisboa, UK

M. Daniela López de Luise, Argentina

Ezequiel López Rubio, Spain

José A. Lozano, Spain

Manuel Lozano, Spain

Francesco Masulli, Italy

Ángel Mora, Spain

Jesús Medina, Spain

Luis Miramontes Hercog, Mexico

Marco Muselli, Italy

Juan Pablo Neirotti, UK

Vilém Novák, Czech Republic

Pietro Oliveto, UK

J.M. Ortiz de Lazcano Lobato, Spain

Witold Pedrycz, Canada

Irina Perfilieva, Czech Rep

Henri Prade, France

Ana Pradera, Spain

Helena Ramalhinho, Spain

João M. Sousa, Portugal

Peter Sussner, Brazil

Vicen c Torra, Spain

Enric Trillas, Spain

José Luis Verdegay, Spain

Francisco Veredas, Spain

Peter Vojtás, Czech Rep.

Dongming Xu, USA

Ronald R. Yager, USA

Slawomir Zadrozny, Poland

Baihai Zhang, China

Session:Chair: Manuel Ojeda-Aciego Co-Chair: Pablo CorderoDate/Time: 13.40 – 15.20, Thu. 18 April 2013 Venue: Canary I Level 4

SS-0393 Relational Algebra for Multi-Ranked Similarity-Based Databases—Radim Belohlavek and Vilem Vychodil

SS-0915 Computing Non-Redundant Sets of Functional Dependencies via Simplification—Pablo Cordero,Manuel Enciso, Ángel Mora and José Manuel Rodríguez-Jiménez

SS-0268 Foundations of Relational Similarity-Based Query Language RESIQL—Petr Krajca and Vilem Vychodil

SS-0863 The X-mu Approach: Fuzzy Quantities, Fuzzy Arithmetic and Fuzzy Association Rules—T. P. Martinand B. Azvine

Session:Chair: Pablo Cordero Co-Chair: Manuel Ojeda-AciegoDate/Time: 15.50 – 17.30, Thu. 18 April 2013 Venue: Canary I Level 4

SS-0767 On the Measure of Incoherent Information in Extended Multi-Adjoint Logic Programs—Nicolás Madrid andManuel Ojeda-Aciego

SS-0456 Radial Basis Functions for Multidimensional Learning with an Application to Nondestructive Sizing ofDefects—S. Shuaib Ahmed, B. Purna Chandra Rao and T. Jayakumar

Session:Chair: Carlos Cotta Co-Chair: Leonardo FrancoDate/Time: 8.30 – 10.10, Fri. 19 April 2013 Venue: Canary I Level 4

SS-0029 A Ripple-Spreading Algorithm for Route Optimization—Xiao-Bing Hu, Ming Wang, Mark S. Leeson, Qiong Sunand Ezequiel Di Paolo

SS-0466 The Impact of Varying Resources Available to Iterated Prisoner’s Dilemma Agents—Daniel Ashlock andEun-Youn Kim

SS-0702 Evaluation Scheduling in Noisy Environments—James Glenn

SS-0723 Effect of Model Complexity for Estimation of Distribution Algorithm in NK Landscapes—Rung-Tzuo Liawand Chuan-Kang Ting

Session:Chair: Leonardo Franco Co-Chair: Carlos CottaDate/Time: 10.40 – 12.20, Fri. 19 April 2013 Venue: Canary I Level 4

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SS-0052 Quantifying Accuracy of Learning via Sample Width—Martin Anthony and Joel Ratsaby

SS-0421 Incorporating User Constraints into Topic-Oriented Self-Organizing Maps—Hsin-Chang Yang,Chung-Hong Lee and Chun-Yen Wu

SS-0734 Analysis of SpikeProp Convergence with Alternative Spike Response Functions—Vaenthan Thiruvarudchelvan,James W. Crane and Terry Bossomaier

SS-0969 Linguistic Summaries for Periodicity Detection Based on Mathematical Morphology—Gilles Moyse,Marie-Jeanne Lesot and Bernadette Bouchon-Meunier


SS-0609 A Review of Computational Intelligence in RTS Games—Raúl Lara-Cabrera, Carlos Cottaand Antonio J. Fernández-Leiva

SS-0647 Influence of Selective Pressure on Quality of Solutions and Speed of Evolutionary MasterMind—J. J. Merelo,A. M. Mora, Nuria Rico and C. Cotta

SS-0814 Normalizing Errors in a Unified Framework Between the Weighted Average and the OWA Operator—José M. Merigó Montserrat Guillén and Jaume Belles-Sampera

SS-0150 Granular Representation Schemes of Time Series: A Study in an Optimal Allocation of InformationGranularity—Rami Al-Hmouz, Witold Pedrycz, Abdullah Balamash and Ali Morfeq

IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems(IEEE GEFS 2013)

After almost twenty years of efforts towards augmenting fuzzy systems with learning and adaptation capabilities, one of themost prominent approaches to do so has resulted in the emergence of genetic fuzzy systems. These kinds of hybrid systemsmeld the approximate reasoning method of fuzzy systems with the adaptation capabilities of evolutionary algorithms. Onthe one hand, fuzzy systems have demonstrated the ability to formalize in a computationally efficient manner the approx-imate reasoning typical of humans. On the other hand, genetic (and in general evolution-inspired) algorithms constitute arobust technique in complex optimization, identification, learning, and adaptation problems. In this way, their confluenceleads to increased capabilities for the design and optimization of fuzzy systems.

GEFS 2013 becomes the sixth workshop in a series of successful symposiums dedicated to serving the needs of aca-demics and practitioners in computational intelligence following the previous workshops in Granada (Spain), Ambleside(UK), Witten-Bommerholz (Germany) and Mieres (Spain). The objective of GEFS 2013 is to facilitate the promotion of novelproblems, research, results, and future directions in the growing area of genetic and evolutionary fuzzy systems. GEFS 2013provides an opportunity to meet researchers working on the topic, make new contacts and exchange ideas.

The GEFS series of workshops are an important part of the activities of the Evolutionary Fuzzy Systems Task Force ofthe FSTC at IEEE CIS, which sponsors this 6th edition as a part of the Symposium Series on Computational Intelligencesponsored by the IEEE Computational Intelligence Society (IEEE SSCI 2013).

Co-Chair(s)Rafael AlcaláUniversity of Granada, Spain

Yusuke NojimaOsaka Prefecture University, Japan

Publicity Chair(s)

Jesús Alcalá, University of Granada, Spain Pietro Ducange, University of Pisa, ItalyMaría José Gacto, University of Jaén, Spain

Program Committee

Jesús Alcalá, University of Granada, SpainAdel M. Alimi, University of Sfax, TunisiaJosé María Alonso, University of Alcalá, SpainKrisztian Balazs, Budapest University of Technology and Economics,HungaryUlrich Bodenhofer, Johannes Kepler University, Linz, AustriaAlberto Bugarín, University of Santiago de Compostela, SpainBrian Carse, University of the West of England, Bristol, UKJorge Casillas, University of Granada, Spain

Oscar Castillo, Tijuana Institute of Technology, MexicoFrancisco Chávez de la O., University of Extremadura, SpainChun-Hao Chen, Tamkang University, TaiwanFrance Cheong, RMIT University Melbourne, AustraliaMarco Cococcioni, University of Pisa, ItalyOscar Cordón, University of Granada, SpainKeeley Crockett, Manchester Metropolitan University, UKPietro Ducange, University of Pisa, ItalyPaulo Fazendeiro, University of Beira Interior, Portugal

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Alberto Fernández, University of Jaén, SpainFrancisco Fernandez de Vega, University of Extremadura, SpainShinji Fukuda, Kyushu University, JapanMaría José Gacto, University of Jaén, SpainFernando Gomide, University of Campinas, BrazilAntonio González, University of Granada, SpainPedro González, University of Jaén, SpainFrancisco Herrera, University of Granada, SpainTzung-Pei Hong, National University of Kaohsiung, TaiwanHisao Ishibuchi, Osaka Prefecture University, JapanMaría José, del Jesus, University of Jaén, SpainFernando Jiménez Barrionuevo, University of Murcia, SpainYaochu Jin, Honda Research Institute Europe, GermanyJanusz Kacprzyk, Polish Academy of Sciences, PolandFrank Klawonn, Ostfalia University of Applied Sciences, GermanyNaoyuki Kubota, Tokyo Metropolitan University, JapanLuis Magdalena, European Center for Soft Computing, SpainFrancesco Marcelloni, University of Pisa, Italy

Mahdi Mahfouf, The University of Sheffield, UK

Francisco Alfredo Márquez, University of Huelva, Spain

Trevor Martin, University of Bristol, UK

Manuel Mucientes, University of Santiago de Compostela, Spain


Antonio Peregrín, University of Huelva, Spain

Raúl Pérez, University of Granada, Spain

Myriam Regattieri Delgado, Federal University of Technology ofParaná, Brazil

Luciano Sánchez, University of Oviedo, Spain

José Antonio Sanz, University of Navarra, Spain

Gregorio Sáinz, University of Valladolid, Spain

Dimitris G. Stavrakoudis, Aristotle University of Thessaloniki, Greece

John Theocharis, Aristotle University of Thessaloniki, Greece

Bogdan Trawinski, Wroclaw University of Technology, Poland

Edward Tunstel, John Hopkins University, USA

Pedro Villar, University of Granada, Spain

Session: Evolutionary Fuzzy Systems IChair: Rafael Alcalá Co-Chair: Yusuke NojimaDate/Time: 13.40 – 15.20, Fri. 19 April 2013 Venue: Nightingale Level 4

SS-0349 Participatory Genetic Learning in Fuzzy System Modeling—Yi Ling Liuand Fernando Gomide

SS-0918 An Empirical Study About the Behavior of a Genetic Learning Algorithm on Searching Spaces Pruned by aCompleteness Condition—David García, Antonio González and Raúl Pérez

SS-0576 A Two-Stage Multi-Objective Genetic-Fuzzy Mining Algorithm—Chun-Hao Chen, Ji-Syuan Heand Tzung-Pei Hong

SS-0828 Effects of Data Prevalence on Species Distribution Modelling Using A Genetic Takagi-Sugeno FuzzySystem—Shinji Fukuda

Session: Evolutionary Fuzzy Systems IIChair: Yusuke Nojima Co-Chair: Rafael AlcaláDate/Time: 15.50 – 17.30, Fri. 19 April 2013 Venue: Nightingale Level 4

SS-0498 Boosting Fuzzy Rules with Low Quality Data in Multi-Class Problems: Open Problems and Challenges—AnaMaria Palacios, Luciano Sánchez and Inés Couso

SS-1003 Estimation of Human Transport Modes by Fuzzy Spiking Neural Network and Evolution Strategy inInformationally Structured Space—Dalai Tang, Janos Botzheim, Naoyuki Kubota and Toru Yamaguchi

SS-0383 Improving a Fuzzy Association Rule-Based Classification Model by Granularity Learning Based on HeuristicMeasures Over Multiple Granularities—Michela Fazzolari, Rafael Alcalá, Yusuke Nojima, Hisao Ishibuchi andFrancisco Herrera

SS-0277 Local Search and Restart Strategies for Satisfiability Solving in Fuzzy Logics—Tim Brys, Madalina M. Drugan,Peter A. N. Bosmany, Martine De Cock and Ann Nowé

SS-0974 Multiobjective Genetic Fuzzy Rule Selection with Fuzzy Relational Rules—Yusuke Nojima and Hisao Ishibuchi

IEEE Workshop on Hybrid Intelligent Models and Applications (IEEE HIMA 2013)

The International workshop will consist of papers describing research work that integrate different Computational Intelli-gence (CI) methodologies for the development of hybrid intelligent systems. CI methodologies at the moment include (atleast) Neural Networks, Fuzzy Logic, Genetic Algorithms, Intelligent Agents, and Chaos Theory. The use of intelligent tech-niques, like neural networks, fuzzy logic and genetic algorithms, for real-world problems is now widely accepted. However,the performance of any of these techniques can be improved, in many situations, by using them in conjunction with othertechniques. For example, genetic algorithms can be used to optimize the design of a neural network for time series predic-tion, or fuzzy logic can be used to combine the information from expert neural modules, just to mention two cases. Also,

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mathematical methods, like the ones from Chaos and Fractal Theory, can be used in conjunction with intelligent techniquesto improve the performance of hybrid systems for real-world applications. The main problem in this area is how to make aprudent combination of CI methodologies to build hybrid intelligent models that can outperform the results produced bythe individual intelligent methods. The international workshop will consist of papers addressing these hybrid approachesand similar ones, either theoretically or for real-world applications. The workshop is intended primarily for researchers andgraduate students working on these research areas.

Co-Chair(s)Patricia MelinTijuana Institute of Technology, Mexico

Sanghamitra BandyopadhyayISI-Kolkatta, India

Program Committee

Oscar Castillo, Tijuana Institute of Technology, Mexico

Roseli A. Francelin Romero, University of Sao Paulo, Brazil

Eduardo Gomez-Ramirez, La Salle University, Mexico

Kaoru Hirota, Tokyo Institute of Technology, Japan

Janusz Kacprzyck, Polish Academy of Sciences, Poland

Nadia Nedjah, State University of Rio de Janeiro, Brazil


Ronald R. Yager, Iona College, USA

Vladik Kreinovich, University of Texas, El Paso, USA

Jacek Zurada, University of Louisville, USA

Bertil Schmidt, Germany

Lakhmi Jain, Australia

Pabitra Mitra, India

Sushmita Mitra, India

Session: Hybrid Intelligent Systems in Modeling and ClusteringChair: Patricia Melin Co-Chair: Sanghamitra BandyopadhyayDate/Time: 8.30 – 10.10, Fri. 19 April 2013 Venue: Nightingale Level 4

SS-0845 Formation of General Type-2 Gaussian Membership Functions Based on the Information Granule NumericalEvidence—Mauricio A. Sanchez, Juan R. Castro and Oscar Castillo

SS-0635 Hybrid Evolutionary Multiobjective Fuzzy C-Medoids Clustering of Categorical Data—Anirban Mukhopadhyay, Ujjwal Maulik and Sanghamitra Bandyopadhyay

SS-0962 Interval Type-2 Fuzzy Clustering for Membership Function Generation—E. Rubio and O. Castillo

SS-0981 Automatic Implementation of Totalistic Cellular Automata Through Polynomial Cellular NeuralNetworks—Antonio Arista-Jalife, Eduardo Gomez-Ramirez and Giovanni E. Pazienza

SS-0692 Intelligent Counseling Agent and Its Evaluation—Tetsuo Shinozaki, Yukiko Yamamoto, Kohei Takadaand Setsuo Tsuruta

Session: Hybrid Intelligent Systems in OptimizationChair: Sanghamitra Bandyopadhyay Co-Chair: Patricia MelinDate/Time: 10.40 – 12.20, Fri. 19 April 2013 Venue: Nightingale Level 4

SS-0900 Ant Colony Optimization for Membership Function Design for a Water Tank Fuzzy Logic Controller—Evelia Lizárraga Olivas, Oscar Castillo, Fevrier Valdez and José Soria

SS-0629 ABC-TDQL: An Adaptive Memetic Algorithm—Pratyusha Rakshit, Amit Konar, Swagatam Dasand Atulya K. Nagar

SS-0795 Predicting Item Difficulty in a Language Test with an Adaptive Neuro Fuzzy Inference System—Vahid Aryadoust

SS-0412 Optimization of Fuzzy Control Systems with Different Variants of Particle Swarm Optimization—Resffa Fierro, Oscar Castillo and Fevrier Valdez

SS-0787 Genetic Optimization of Interval Type-2 Fuzzy Reactive Controllers for Mobile Robots—Abraham Melendezand Oscar Castillo

IEEE Symposium on Intelligent Agents (IEEE IA 2013)

The 2013 IEEE International Symposium on Intelligent Agents (IA 2013) will be held within the 2013 IEEE SymposiumSeries on Computational Intelligence (SSCI 2013). The intersection between Computational Intelligence and Agent tech-nology opens new significant opportunities in many fields where the representation and management of complex sys-tems play a fundamental role. In the formulation of Agent-based systems, the role of uncertainty is crucial for an efficientand coherent resolution of complex problems. Agents overcome classical programs thanks to their inner capabilities to be

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autonomous and to adapt their behaviour with the changing of the environment where agents live and interact. This meansthat inevitably they meet uncertainty during their work, or in many cases, for the high complexity of the problem, the infor-mation they handle is (or needs to be) approximate. IA 2013 will aim to provide a leading international forum to bringtogether researchers and practitioners from diverse fields, such as computer science, information technology, business, edu-cation, human factors, systems engineering, and robotics. The symposium will aim to examine the design principles andperformance characteristics of various approaches in intelligent agent technology. In addition, the symposium will aim toincrease the cross-fertilization of ideas on the development of autonomous agents and multi-agent systems among differentdomains. By encouraging idea-sharing and discussions on the underlying logical, cognitive, physical, and sociological foun-dations as well as the enabling technologies of intelligent agents, IA 2013 will foster the development of novel paradigmsand advanced solutions in agent-based computing.

Co-Chair(s)Hani HagrasUniversity of Essex, UK

Vincenzo LoiaNUniversity of Salerno, Italy

Program Committee

Waleed Abdulla, University of Auckland, New ZealandPlamen Angelov, University of Lancaster, UKAbdelhamid Bouchachia, Klagenfurt University, AustriaDiane Cook, Washington State University, USAKerstin Dautenhahn, University of Hertfordshire, UKHakan Duman, British Telecom, UKFaiyaz Doctor, University of Essex, UKBarbara Hammer, Clausthal University of Technology, GermanyMohamed Ibrahim, Heilbronn University, GermanyAchilles Kameas, Hellenic Open University and CTI, GreeceChang-Shing Lee, National University of Tainan, TaiwanVinczenco Loia, University of Salerno, ItalyAntonio Lopez, University of Oviedo, Spain

Wolfgang Minker, University of Ulm, Germany

Rabie Ramadan, Cairo University, Egypt

Sabrina Senatore, University of Salerno, Italy

Mihaela Ulieru, University of New Brunswick, Canada

Christian Wagner, University of Essex, UK

Michael Weber, University of Ulm, Germany

Giancarlo Fortinio, University of Calabria, Italy

Thanos Vasilakos, University of Western Macedonia, Greece

Antonina Dattolo, University of Udine, Italy

Ahmed Lotfi, Nottingham Trent University, UK

Germano Resconi, Catholic University, Italy

Fernando Buarque, University of Pernambuco, Brazil

Tutorial: Sentic ComputingBy Dr. Erik Cambria Chair: David PowersDate/Time: 10.30 – 11.30, Fri 19 April 2013 Venue: Galleria Ballroom, Level 3

Session: Intelligent Agents ApplicationsChair: Zita Vale Co-Chair: Erik CambriaDate/Time: 8.30 – 10.10, Tue. 16 April 2013 Venue: Nightingale Level 4

SS-1020 Application of Intention Awareness and Sentic Computing for Sensemaking in Joint-CognitiveSystems—Newton Howard

SS-0722 Scenarios Generation for Multi-Agent Simulation of Electricity Markets Based on Intelligent DataAnalysis—Gabriel Santos, Isabel Praça, Tiago Pinto, Sérgio Ramos and Zita Vale

SS-0488 Lesson Authoring System for Creating Interactive Activities Involving Virtual Humans – The Thinking HeadWhiteboard—Marissa Milne, Richard Leibbrandt, Parimala Raghavendra, Martin Luerssen, Trent Lewisand David Powers

Session: Evolving Intelligent AgentsChair: Giovanni Acampora Co-Chair: Jacob W. CrandallDate/Time: 10.40 – 12.20, Tue. 16 April 2013 Venue: Nightingale Level 4

SS-0695 Collaborative Memetic Agents for Enabling Semantic Interoperability—Giovanni Acampora and Autilia Vitiello

SS-0377 Genetic Algorithms in Repeated Matrix Games: The Effects of Algorithmic Modifications and Human Inputwith Various Associates—Yomna M. Hassan and Jacob W. Crandall

SS-0502 Hybrid Methodologies to Foster Ontology-Based Knowledge Management Platform—V. Loia, G. Fenza,C. De Maio and S. Salerno

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Session: Intelligent Agents MechanismsChair: Ana L. C. Bazzan Co-Chair: Seng-Beng HoDate/Time: 13.40 – 15.20, Tue. 16 April 2013 Venue: Nightingale Level 4

SS-0324 A Grand Challenge for Computational Intelligence – A Micro-Environment Benchmark for AdaptiveAutonomous Intelligent Agents—Seng-Beng Ho

SS-0311 Benefits of Routing and Replanning with Imperfect Information—Maicon de Brito do Amaranteand Ana L. C. Bazzan

SS-0196 Cooperative Induction of Decision Trees—Ana L. C. Bazzan

IEEE International Conference on Evolvable Systems(IEEE ICES 2013)

Evolvable Systems use evolvable and other bio-inspired algorithms to create physical devices and designs. Further, Evolv-able Systems may have adaptive characteristics required for more robust components and systems that operate in a changingenvironment. Examples of where evolvable systems have had some success include analogue and digital electronics, anten-nas, MEMS chips, optical systems as well as quantum circuits.

Held without interruption since 1995, ICES has become the leading conference in the field of evolvable hardware andsystems. In a new and exciting move, ICES has joined the successful IEEE Symposium Series on Computational Intelligence.This years’ conference includes papers from international researchers using Evolvable Systems in applications from antennadesign to robotics and in new technologies for FPGAs to custom devices and much more. In addition, we have a Keynoteaddress from Prof Gusz Eiben – one of the founders of evolutionary computing. We are sure you will find the conferenceinteresting and will inspire your future research.

Co-Chair(s)Andy M. TyrrellUniversity of York, UK

Pauline C. HaddowNTNU, Norway

Program Committee

Andrew Adamatzky, University of the West of England, UKBurcin Aktan, Intel Corporation, USAPeter Bentley, University College London, UKMichal Bidlo, Brno University of Technology, Czech RepublicRolf Drechsler, University of Bremen, GermanyMarc Ebner, Eberhard Karls University of Tuebingen, GermanyR. Tim Edwards, Multigig Inc., USAStuart J. Flockton, Royal Holloway, University of London, UKJohn Gallagher, Wright State University, USAPauline C. Haddow, NTNU, NorwayAlister Hamilton, University of Edinburgh, UKInman Harvey, University of Sussex, UKJames Hereford, Murray State University, USATatiana Kalganova, Brunel University, UKPaul Kaufmann, University of Paderborn, GermanyDidier Keymeulen, NASA, Jet Propulsion Laboratory, USAPer Kristian Lehre, University of Birmingham, UKJordi Madrenas, Technical University of Catalunya, SpainTrent McConaghy, Solido Design Automation, CanadaJulian Miller, University of York, UK

J Manuel Moreno Arostegui, Technical University of Catalunya,Spain

Pierre-Andre Mudry, EPFL, Switzerland

Lucian Prodan, University Polytechnic of Timisoara, Romania

Daniel Roggen, ETH Zürich, Switzerland

Gilles Sassatelli, University of Montpellier 2, FRANCE

Lukas Sekanina, Brno University of Technology, Czech Republic

Stephen Smith, University of York, UK

Giovanni Squillero, Politecnico di Torino, Italy

Uwe Tangen, Ruhr-Univserity-Bochum, Germany

Gianluca Tempesti, University of York, UK

Christof Teuscher, Portland State University, USA

Jon Timmis, University of York, UK

Jim Torresen, University of Oslo, Norway

Martin Trefzer, University of York, UK

Andy M. Tyrrell, University of York, UK

Fabien Vannel, University of Applied Sciences Western Switzerland,Switzerland

James Walker, University of York, UK

Keynote: Artificial Evolution: from Digital to PhysicalBy Prof. Dr. AE (Gusz) Eiben Chair:Date/Time: 8.30 – 9.30, Tue. 16 April 2013 Venue: Lyrebird, Level 3

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Session: Applications IChair: A. M. Tyrrell Co-Chair:Date/Time: 10.40 – 12.20, Tue. 16 April 2013 Venue: Sharma Level 4

SS-0054 Using Evolved Controllers to Adapt Behavior in Autonomous Nonlinear Systems—Garrison W. Greenwoodand Shubham Chopra

SS-0195 Evolutionary Design of a Wide-Band Twisted Dipole Antenna for X-Band Application—Zhu Liu,Sanyou Zeng, Yuhong Jiang, Changhe Li and Ni Ouyang

SS-0619 Body Building: Hatching Robot Organisms—Berend Weel, Evert Haasdijk and A. E. Eiben

Session: Circuit DesignChair: P. C. Haddow Co-Chair:Date/Time: 13.40 – 15.20, Tue. 16 April 2013 Venue: Sharma Level 4

SS-0613 Approximate Circuit Design by Means of Evolvable Hardware—Lukas Sekanina and Zdenek Vasicek

SS-0672 Functional-Level Development of Image Filters by Means of Cellular Automata—Michal Bidloand Zdenek Vasicek

SS-0223 Exploiting the Reconfigurability of the PAnDA Architecture to Overcome Physical SubstrateVariations—James Alfred Walker, Martin A. Trefzer, Simon J. Bale and Andy M. Tyrrell

Session: Design FrameworksChair: M. A. Trefzer Co-Chair:Date/Time: 8.30 – 10.10, Wed. 17 April 2013 Venue: Sharma Level 4

SS-0267 Concurrent Evolution of Hardware and Software for Application-Specific Microprogrammed Systems—Milos Minarik and Lukas Sekanina

SS-0374 Extending the Hardware Architecture of Systemic Computation to a Complete ProgrammingPlatform—Christos Sakellariou and Peter J. Bentley

SS-0770 On the Implications of Plug-and-Learn Adaptive Hardware Components – Toward a Cyberphysical SystemsPerspective on Evolvable and Adaptive Hardware—John C. Gallagher, Eric T. Matsonand Garrison W. Greenwood

Session: Applications IIChair: L. Sekanina Co-Chair:Date/Time: 10.40 – 12.20, Wed. 17 April 2013 Venue: Sharma Level 4

SS-0338 The Artificial Epigenetic Network—Alexander P. Turner, Michael A. Lones, Luis A. Fuente, Susan Stepney, Leo S.D. Caves and Andy Tyrrell

SS-0963 Investigating Evolvable Hardware Classification for the BioSleeve Electromyographic Interface—Kyrre Glette,Paul Kaufmann, Christopher Assad and Michael T. Wolf

SS-0506 Design and Evaluation of an Adaptive Real-Time Microprocessor—Michael Bauer, Daniel Lohn,Benjamin Betting and Uwe Brinkschulte

Session: Hardware PlatformsChair: J. C. Gallagher Co-Chair:Date/Time: 13.40 – 15.20, Wed. 17 April 2013 Venue: Sharma Level 4

SS-0459 Towards Evolvable Systems Based on the Xilinx Zynq Platform—Roland Dobai and Lukas Sekanina

SS-0133 Designing Function Configuration Decoders for the PAnDA Architecture Using Multi-Objective CartesianGenetic Programming—James Alfred Walker, Martin A. Trefzer and Andy M. Tyrrell

SS-0728 DNA Tiling for Digital Evolvable Hardware—Pauline C. Haddow and Vinay Kumar Gautam

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IEEE Workshop on Memetic Computing (MC 2013)

MC 2013 is the second Workshop on Memetic computing organized by IEEE CIS Emergent Technologies Task Force onMemetic Computing. MC is defined as a paradigm that uses the notion of meme(s) as units of information encoded incomputational representations for the purpose of problem-solving. Taking a lead from the multi-faceted definitions androles of the term "meme” in Memetics, a plethora of potentially rich MC methodologies, frameworks and operational meme-inspired algorithms have been developed with considerable success in several real-world domains in the last two decades.The aim of this workshop is to serve as a forum for scientists in this field to exchange the latest advantages in theories,technologies, and practice of MC.

The final technical program consists of 14 paper submissions, one keynote, and one invited talk. The keynote will be deliv-ered by Prof. Jacek Mandziuk and the invited talk will be given by Dr. Partha Dutta. We hope you will find the workshopinteresting and enlightening. Hope you all have a productive and enjoyable time in this event.

Co-Chair(s)Zexuan ZhuShenzhen University, China

Ruhul SarkerThe University of New South Wales, Australia

Maoguo GongXidian University, China

Program Committee

Anna Kononova, Heriot-Watt University, UKAntonio LaTorre, Instituto Cajal – Consejo Superior de InvestigacionesCientificas, SpainBin Li, University of Science and Technology of China, ChinaBo Liu, Academy of Mathematics and Systems Science, ChineseAcademy of Sciences, ChinaChuan-Kang Ting, National Chung Cheng University, TaiwanChi Keong Goh, Advanced Technology Centre, Rolls-Royce SingaporePte Ltd, SingaporeDirk Sudholt, The University of Sheffield, UKFerrante Neri, University of Jyvaskyla, FinlandGiovanni Iacca, INCAS3, NetherlandsHisao Ishibuchi, Osaka Prefecture University, JapanJános Botzheim, Tokyo Metropolitan University, JapanJim Smith, University of the West of EnglandJin-Kao Hao, University of Angers, FranceJing Liang, Zhenzhou University, ChinaKai Qin, MISTIS Team at INRIA Grenoble Rhone-Alpes, FranceKay Chen Tan, National University of Singapore, SingaporeKe Tang, University of Science and Technology of China, ChinaKengo Katayama, Okayama University of Science, JapanLee Kee Khoon, Institute of High Performance Computing, A-Star,Singapore

Licheng Jiao, Xidian University, China

Lin-Yu Tseng, Providence University, Taiwan

Manuel Lozano, University of Granada, Spain

Martin Pilat, Charles University in Prague, Czech Republic

Meng-Hiot Lim, Nanyang Technological University, Singapore

Mengjie Zhang, Victoria University of Wellington, New Zealand

Natalio Krasnogor, University of Nottingham, United Kingdom

Oliver Schuetze, Cinvestav-IPN, Mexico

Pablo Moscato, The University of Newcastle, Australia


Shaheen Fatima, Loughborough University, United Kingdom

Steven Gustafson, GE Global Research, USA

Swagatam Das, Jadavpur University, India

Tomas Maul, The University of Nottingham Malaysia Campus,Malaysia

Xiao Yang, Broad Institute of MIT and Harvard, USA

Yanqing Zhang, Georgia State University, USA


Yew-Soon Ong, Nanyang Technological University, Singapore

Ying-Ping Chen, National Chiao Tung University, Taiwan

Yong Wang, Central South University of China, China

Zhen Ji, Shenzhen University, China

Keynote: Multigame Playing — A Challenge for Computational IntelligenceBy Prof. Jacek Mandziuk Chair: Zexuan ZhwDate/Time: 13.30 – 14.30, Tue. 16 April 2013 Venue: Lyrebird, Level 3

Session: Memetic Computing Session 3Chair: Zexuan Zhu Co-Chair: Maoguo GongDate/Time: 8.30 – 10.10, Tue. 16 April 2013 Venue: Canary I Level 4

SS-0567 Optimal Testing Resource Allocation for Modular Software Systems Based-on Multi-Objective EvolutionaryAlgorithms with Effective Local Search Strategy—Yu Shuaishuai, Fei Dong and Bin Li

SS-0971 A Coevolving Memetic Algorithm for Simultaneous Partitional Clustering and Feature Weighting—Yiwen Sun, Zexuan Zhu, Shan He and Zhen Ji

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Session: Memetic Computing Session 2Chair: Yew Soon Ong Co-Chair: Ying-ping ChenDate/Time: 10.40 – 12.20, Tue. 16 April 2013 Venue: Canary I Level 4

The Role of Data in Computational Intelligence – An Industrial Perspective

SS-0310 On the Effect of Population Size and Selection Mechanism from the Viewpoint of Collaboration BetweenExploration and Exploitation—Jih-Yiing Lin and Ying-ping Chen

SS-0483 On the Analysis of a (1+1) Adaptive Memetic Algorithm—Michael J. Dinneen and Kuai Wei

SS-0773 Research on Evolution Hardware Design Based on Memetic Algorithm—Hongwei Mo and Longlong Meng

SS-0280 A Hybrid Imperialist Competitive-Gravitational Attraction Search Algorithm to Optimize Cloud ServiceComposition—Amin Jula, Zalinda Othman and Elankovan Sundararajan

Session: Memetic Computing Session 1Chair: Ferrante Neri Co-Chair: Jing LiangDate/Time: 8.30 – 10.10, Wed. 17 April 2013 Venue: Canary I Level 4

SS-0207 A Graph-Based Memetic Approach to Sketch Geolocation—Andrew R. Buck and James M. Keller

SS-0316 Re-Sampling Search: A Seriously Simple Memetic Approach with a High Performance—Fabio Caraffini,Ferrante Neri, Mario Gongora and Benjamin N. Passow

SS-0711 Probabilistic Memetic Algorithm for Flowshop Scheduling—Bo Liu, Juan-Juan Xu, Bin Qian, Jian-Rong Wangand Yan-Bin Chu

SS-0937 Performance Evaluation of Dynamic Multi-Swarm Particle Swarm Optimizer with Different ConstraintHandling Methods on Path Planning Problems—J. J. Liang, H. Song and B. Y. Qu


SS-0302 Automatic Kernel Clustering with Quantum-Behaved Particle Swarm Optimization Algorithm—Yangyang Li,Maoguo Gong and Yanru Zhang

SS-0514 A Memetic Algorithm for Uncertain Capacitated Arc Routing Problems—Juan Wang, Ke Tang and Xin Yao

SS-0754 Hybrid Immune Algorithm with LK Based Local Search for the Traveling Salesman Problem—Yutao Qiand Yi Duan

SS-0564 Prediction of Protein-Protein Interactions from Amino Acid Sequences Using Extreme Learning MachineCombined with Auto Covariance Descriptor—Zhu-Hong You, Liping Li, Zhen Ji, Min Li and Sen Guo

IEEE Symposium on Computational Intelligence in Multi-Criteria Decision Making(IEEE MCDM 2013)

IEEE MCDM 2013 is the fourth IEEE Symposium on Computational Intelligence in Multi-Criteria Decision Making. Thisinternational event promotes all aspects of the theory and applications of computational intelligence (i.e., neural networks,fuzzy systems and evolutionary computation) in all areas related to multi-criteria decision making, including multi-objectiveoptimization, multi-objective machine learning, multi-objective analysis of biological systems, interactive visualization tech-niques, and decision making techniques.

The final technical program consists of 8 papers organized in two sessions.

Co-Chair(s)Carlos A. Coello CoelloCINVESTAV-IPN, Mexico

Piero P. BonissoneGE Global Research, USA

Yaochu JinUniversity of Surrey, UK

Program Committee

Hussein A. Abbass, University of New South Wales, Australia

Adel M. Alimi, University of Sfax, Tunisia

Hernan Aguirre, Shinshu University, Japan

Gideon Avigad, Braude College of Engineering, Israel

Ulrich Bodenhofer, Johannes Kepler University, Austria

B. Chandrasekaran, The Ohio State University, USA

Pei-Chann Chang, Yuan Ze University, Taiwan

Francisco Chiclana, De Montfort Univeristy, UK

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Oscar Cordon, European Centre for Soft Computing, Spain

David Corne, Heriot-Watt University, UK

Bernard De Baets, Ghent University, Belgium

Thierry Denoeux, Université de Technologie de Compiègne, France

Matthias Ehrgott, The University of Auckland, New Zealand

Rudolf Felix, F/L/S Fuzzy Logik Systeme GmbH, Germany

Jonathan E. Fieldsend, University of Exeter, UK

Peter Fleming, University of Sheffield, UK

Thomas Hanne, University of Applied Sciences Northwestern,Switzerland

Francisco Herrera, University of Granada, Spain

Enrique Herrera-Viedma, University of Granada, Spain

Arturo Hernandez Aguirre, Center for Research in Mathematics,Mexico

Chongfu Huang, Beijing Normal University, China

Beatriz de la Iglesia, University of East Anglia, UK

Masahiro Inuiguchi, Osaka University, Japan

Fernando Jiménez, University of Murcia, Spain

Janusz Kacprzyk, Polish Academy of Sciences, Poland

Uzay Kaymak, Erasmus University Rotterdam, The Netherlands

DaeEun Kim, Yonsei University, South Korea

Mario Koeppen, Kyushu Institute of Technology, Japan

Sanaz Mostaghim, Karlsruhe Institute of Technology, Germany

Luiz S. Oliveira, Federal University of Parana, Brazil

Antonio Padua Braga, Universidade Federal de Minas Gerais, Brazil

Nikhil R. Pal, Indian Statistical Institute, India

Da Ruan, The Belgian Nuclear Research Centre and Ghent University,Belgium

João M. Sousa, Technical University of Lisbon, Portugal

Raj Subbu, GE Global Research, USA

El-Ghazali Talbi, University of Lille, France


Kiyoshi Tanaka, Shinshu University, Japan

Vicenc Torra, IIIA-CSIC, Spain

Ronald R. Yager, Iona College, USA

Yiyu Yao, University of Regina, Canada

Gary G. Yen, Oklahoma State University, USA

Ali Riza Yildiz, Mississippi State University, USA

Feng Xue, GE Global Research, USA


Keynote: MOEAs: Applications in Bioinformatics and Data MiningBy Prof. Sanghamitra Bandyopadhyay Chair: Barbara HammerDate/Time: 8.30 – 9.30, Tue. 16 April 2013 Venue: Galleria Ballroom, Level 3

Session: Multi-Objective Evolutionary Algorithms and ApplicationsChair: Hisao Ishibuchi Co-Chair(s): Hussein Abbass, David CorneDate/Time: 13.40 – 15.20, Fri. 19 April 2013 Venue: Canary I Level 4

SS-0289 A New Niching Method for the Direction-Based Multi-Objective Evolutionary Algorithm—Long Nguyen,Lam Thu Bui and Hussein Abbass

SS-0251 Two Decomposition-Based Modern Metaheuristic Algorithms for Multi-ObjectiveOptimization – A Comparative Study—Miguel A. Medina, Swagatam Das, Carlos A. Coello Coelloand Juan M. Ramirez

SS-0623 MOPC/D: A New Probability Collectives Algorithm for Multiobjective Optimisation—David Morgan, AntonyWaldock and David Corne

SS-0804 Effects of Duplicated Objectives in Many-Objective Optimization Problems on the Search Behavior ofHypervolume-Based Evolutionary Algorithms—Hisao Ishibuchi, Masakazu Yamane and Yusuke Nojima

Session: Multi-Criteria Decision Making and Hybrid ApproachesChair: Swagatam Das Co-Chair:Date/Time: 15.50 – 17.30, Fri. 19 April 2013 Venue: Canary I Level 4

SS-0673 Autonomous Multi-Criteria Decision Making for Route Selection in a Telecommunication Network—Farouk Aissanou and Alain Petrowski

SS-0600 Sets of Interacting Scalarization Functions in Local Search for Multi-Objective Combinatorial OptimizationProblems—Madalina M. Drugan

SS-0270 A Hybridization of MOEA/D with the Nonlinear Simplex Search Algorithm—Saúl Zapotecas Martínez andCarlos A. Coello Coello

SS-0867 Goal Programming Approach for Multi-Criteria Decision-Making for an Energy Efficient Event RecognitionScheme—Salman A. Khan and Mohamed Baqer

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IEEE Workshop on Robotic Intelligence in Informationally Structured Space(IEEE RiiSS 2013)

It is my pleasure to welcome you to RiiSS 2013 U IEEE Workshop on Robotic Intelligence in Informationally StructuredSpace. RiiSS 2013 is being hosted by IEEE Symposium Series on Computational Intelligence 2013, in Singapore. This is thethird RiiSS workshop after the first one was successfully held in Nashville in 2009 and the second one in Paris in 2011.

RiiSS2013 will bring together scientists, engineers and students from around the world to discuss the latest advances inthe field of robot intelligence within the context of informationally structured space. Recently, the emerging synthesis ofinformation technology (IT), network technology (NT), and robot technology (RT) is one of the most promising approachesto realize a safe, secure, and comfortable society for the next generation. Human-centered systems require, in particular,sophisticated physical and information services, which are based on sensor networks, ubiquitous computing, and intelli-gent artifacts. Information resources and the accessibility within an environment are essential for people and for robots. Theenvironment surrounding people and robots should have a structured platform for gathering, storing, transforming, andproviding information. Such an environment is called informationally structured space. The intelligent computing for thedesign and use of the informationally structured space should be discussed from various points of view at the same time.An intelligent robot can be an interface connecting between people and informationally structured space to search and pro-vide information. Computational intelligence plays an important role in dealing with perception, action, decision-making,planning, adaptation, and learning of robots in the informationally structured space.

RiiSS is the result of time and involvement of many people. We are grateful to the authors for their interest in this work-shop and submitting their work. We would like to acknowledge many reviewers who volunteered and dedicated theirvaluable time and effort to assure the quality of the papers.

This workshop was originally planned when we started the Robotics Task Force of the Intelligent Systems ApplicationsTechnical Committee (ISATC) of the IEEE Computational Intelligence Society (IEEE/CIS) back in 2007. In fact, most of theTechnical Program Committee members are from the Task Force. We would like to thank them for their long-term supportto make this workshop a reality and a success.

RiiSS 2013 is very honored to have Prof. Tetsuya Ogata, Waseda University as a keynote speaker. Prof. Tetsuya is one ofdistinguished researchers on the intelligent space based on dynamical systems approach for human-robot interaction.

Chair(s)Honghai LiuUniversity of Portsmouth, UK

Naoyuki KubotaTokyo Metropolitan University, Japan

Program Committee

Eun Yeong Ahn, Google Inc., USALaurence Amaral, Federal University of Uberlandia, BrazilTsourdos Antonios, Cranfield University, UKValentina Balas, University of Arad, RomaniaSenen Barro, University of Santiago de Compostela, SpainBranislav Borovac, University of Novi Sad, SerbiaJanos Botzheim, Tokyo Metropolitan University, JapanJiangtao Cao, Liaoning Shihua University, ChinaChee Seng Chan, University of Malaya, MalaysiaAntonio Chella, University of Palermo, ItalyRyad Chellali, Institute of Italy Technologies, ItalyXiang Chen, University of Windsor, CanadaZhaopeng Chen, German Aerospace Center, GermanySung-Bae Cho, Yonsei University, KoreaErnesto Cuadros-Vargas, San Pablo Catholic University, PeruSergio Decherchi, Fondazione Istituto Italiano di Tecnologia, ItalyNicolas Durand, ENAC, FranceDong-Ming Gan, Khalifa University of Science, Technology andResearch, Abu Dhabi, UAESamir Garbaya, ENSAM - Arts et Metiers ParisTech, FranceDawei Gong, University of Electronic Science and Technology, ChinaDongbing Gu, University of Essex, UKFrank Guerin, University of Aberdeen, UKMaki Habib, The American University in Cairo, EgyptDonggui Han, Wuhan Textile University, ChinaMeng Hu, Drexel University, USAYuancan Huang, Beijing Institute of Technology, ChinaRyota Ishibashi, Tokyo Metropolitan University, Japan

Yinlai Jiang, Kochi University of Technology, JapanMing-Yi Ju, National University of Tainan, TaiwanRobert Karlsen, US Army - TARDEC, USAGraham Kendall, University of Nottingham, MalaysiaKazuo Kiguchi, Kyushu University, JapanJong-Hwan Kim, KAIST, South KoreaKyung-Joong Kim, Sejong University, South KoreaFutoshi Kobayashi, Kobe University, JapanRobert Kozma, University of Memphis, USADaisuke Kurabayashi, Tokyo Institute of Technology, JapanHak-Keung Lam, King’s College London, UKQuan Le, UCD, IrelandChang-Shing Lee, National University of Tainan, TaiwanHongliang Li, Institute of Automation Chinese Academy of Sciences,ChinaHongyi Li, Portsmouth University, UKXinde Li, Southeast University, ChinaChien-Chou Lin, National Yunlin University of Science and Technol-ogy, TaiwanAlejandro Linares-Barranco, University of Seville, SpainDaniel Ly, Cornell Univerity, USAChu Kiong Loo, University of Malaya, MalaysiaYoichiro Maeda, University of Fukui, JapanNoureddine Manamanni, University of Reims Champagne Ardenne,FranceHiroyuki Masuta, Kanagawa University, JapanQiinggang Meng, Loughborough University, UKGyula Mester, University of Szeged, HungaryKazuhiro Ohkura, Hiroshima University, JapanGaoxiang Ouyang, Beijing Normal University, China

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Dimokritos Panagiotopoulos, Technological Educational Institute ofWest Macedonia, GreeceGary Parker, Connecticut College, USANicolas Pugeault, University of Surrey, UKImre Rudas, Obuda University, HungaryUlrich Ruckert, University of Paderborn, GermanyKave Salamatian, University of Savoie, FranceMinghui Shi, Xiamen University, ChinaJoaquin Sitte, Queensland University of Technology, AustraliaStephen Stubberud, Raytheon, USAChrysostomos Stylios, TEI OF EPIRUS, GreeceIndra Adji Sulistijono, Electronics Engineering Polytechnic Instituteof Surabaya, Indonesia

Jiacheng Tan, Portsmouth University, UK

Jozsef Tar, Obuda University, Hungary

Vicenc Torra, IIIA-CSIC, Spain

Steven Van Vaerenbergh, University of Cantabria, Spain

Shuming Wang, National University of Singapore, Singapore

Kok Wai Wong, Murdoch University, Australia

Peter Xu, University of Auckland, New Zealand

Yoichi Yamazaki, Kanto Gakuin University, Japan

Hao Ying, University of Wayne, USA

Xiao-Jun Zeng, University of Manchester, UK

Xuguang Zhang, Yanshan University, China

Junyang Zhao, Xi’an Research Inst. of Hi-tech, China

Keynote: Active Space-Body Perception and Body Enhancement Using Dynamical Neural SystemsBy Dr. Tetsuya Ogata Chair:Date/Time: 15.30 – 16.30, Fri. 19 April 2013 Venue: Galleria Ballroom, Level 3

Session: Intelligent behavior learning of robots IChair: Kazuo Kiguchi, Kyushu University, Japan Co-Chair: Futoshi Kobayashi, Kobe University, JapanDate/Time: 15.50 – 17.30, Thu. 18 April 2013 Venue: Cardinal Level 3

SS-0290 Slip Detection Using Robot Fingertip with 6-Axis Force/torque Sensor—Hayato Kanno, Hiroyuki Nakamoto,Futoshi Kobayashi, Fumio Kojima and Wataru Fukui

SS-0364 Application of Magnetic Type Tactile Sensor to Gripper—Hiroyuki Nakamoto and Satoru Takenawa

SS-0478 Cyclic Motion Generation for Intelligent Robot by Evolutionary Computation—János Botzheim, Noriko Takaseand Naoyuki Kubota

SS-0762 Estimation of Joint Force/Torque Based on EMG Signals—Kazuo Kiguchi, Kaori Tamura and Yoshiaki Hayashi

SS-0784 Fuzzy Logic Temperature Controller for Small Robots—A. Jebelli, V. Kanavallil, D. Necsulescuand M. C. E. Yagoub

Session: Computational Intelligence for RoboticsChair: Honghai Liu, University of Portsmouth Co-Chair: Naoyuki Kubota, Tokyo Metropolitan UniversityDate/Time: 8.30 – 10.10, Fri. 19 April 2013 Venue: Cardinal Level 3

SS-0372 Adaptive and Safe Mobile Manipulator for Human Robot Interaction—Amal Meddahi and Ryad Chellali

SS-0745 Color Based Stereo Correspondence Algorithm with Adaptive Local Support—Ashutosh Mishra,Rajesh Uniyal, Naman Madan and Rajesh Rohilla

SS-0785 EMG-EMG Correlation Analysis for Human Hand Movements—Zhaojie Ju, Gaoxiang Ouyang and Honghai Liu

SS-0925 Evolutionary Conditions for the Emergence of Robotic Theory of Mind with Multiple Goals—Kyung-Joong Kim, Kang Yong Eo, Ye Ran Jung, Si On Kim and Sung-Bae Cho

Session: Intelligent learning algorithms for multi-robot systemsChair: Chu Kiong Loo, University of Malaya, Malaysia Co-Chair: Chee Seng Chan, University of Malaya, MalaysiaDate/Time: 10.40 – 12.20, Fri. 19 April 2013 Venue: Cardinal Level 3

SS-0205 A Concurrent Approach to Robot Team Learning—Larry Ng and M. Reza Emami

SS-0210 Biological Inspired Human Action Recognition—Bardia Yousefi, Chu Kiong Loo and Ali Memariani

SS-0763 Approaches to Dynamic Team Sizes—G. S. Nitschke and S. M. Tolkamp

SS-0797 Reinforcement Learning-Based Robust Adaptive Tracking Control for Multi-Wheeled Mobile RobotsSynchronization with Optimality—Nguyen Tan Luy, Nguyen Thien Thanh and Hoang Minh Tri

SS-0941 A Distributed Multi Robot SLAM System for Environment Learning—Syed Riaz Un Nabi Jafri and Ryad Chellali

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Session: Kukanchi - interactive human space design and intelligenceChair: Janos Botzheim, Tokyo Metropolitan University,Japan

Co-Chair: Naoyuki Kubota, Tokyo Metropolitan University,Japan

Date/Time: 13.40 – 15.20, Fri. 19 April 2013 Venue: Cardinal Level 3

SS-0468 Integration of Behaviors and Languages with a Hierarchal Structure Self-Organized in a NeurodynamicalModel—Tetsuya Ogata and Hiroshi G. Okuno

SS-0556 Developing an Information Giving System for Supporting Community Society—Ryuichi Tachibana,Shun Nomura, Jiguo Zhen, Yihsin Ho, Yasunari Fujimoto and Toru Yamaguchi

SS-0936 Maritime Space Understanding Using Multiple Radar Systems by Iterative Image ReconstuctionAlgorithm—Syoji Kobashi, Hokuto Mita, Kazuya Nakagawa, Koji Nishiyama, Hitoshi Maeno, Kei Kuramoto andYutaka Hata

SS-0939 A Path Planning Behavior Learning of Six Legged Robot Based on Human Teaching Model—Indra Adji Sulistijono, Marianus Bayu Aji Kurniawan, Setiawardhana and Eka Prasetiono

Session: Intelligent behavior learning of robots IIChair: Kazuo Kiguchi, Kyushu University, Japan Co-Chair: Futoshi Kobayashi, Kobe University, JapanDate/Time: Cardinal, Friday, 13:40-15:20 Venue:

SS-0893 Proposal of Learning Method which Selects Objectives Based on the State—Hironori Miuraand Kentarou Kurashige

SS-0055 Trajectory Tracking Control of a Mobile Robot by Computed Torque Method with On-Line Learning NeuralNetwork—Thuan Hoang Tran, Van Tinh Nguyen, Thuong Cat Pham and Minh Tuan Pham


SS-0701 Learning Based Robot Control with Sequential Gaussian Process—Sooho Park, Shabbir Kurbanhusen Mustafaand Kenji Shimada

IEEE Symposium on Differential Evolution (IEEE SDE 2013)

We extend a warm and heartfelt welcome to the delegates to 2013 Symposium on Differential Evolution (SDE) being heldunder IEEE SSCI 2013. Differential Evolution (DE) is arguably one of the most powerful stochastic real parameter optimiza-tion algorithms of current interest. DE and its variants have earned a widespread reputation within a short span of time dueto their performances over optimization problems of widely varying nature that include single-objective, multiobjective,multi-modal, constrained, dynamic, and large-scale, etc. Although research on and with DE has reached an impressive state,there are still many open problems and new application areas are continually emerging for the algorithm. We are confidentthat this symposium will play a key role in bringing researchers and users from academia and industry together to report,interact and review the latest progress in this field, to explore future directions of research and to publicize DE to a wideraudience from diverse fields.

The final technical program consist of 23 submissions organized in different sessions. There will be a keynote lecturedelivered by Prof. Ferrante Neri. We hope you will find the symposium very interesting, and you will enjoy sharing timewith your colleagues during the symposium to exchange new ideas.

Co-Chair(s)Janez BrestUniversity of Maribor, Slovenia

Swagatam DasJadavpur University, Calcutta, IndiaFerrante NeriUniversity of Jyväskylä, Finland P. N. SuganthanNanyang Technological University, Singapore

Program Committee

M. A. Asaf, Australia

L. S. Batista, Brazil

B. Boskovic, Slovenia

L. d. S. Coelho, Brazil

D. Davendra, Czech Republic

H. Dhahri, Tunisia

S. Elsayed, Australia

A. P. Engelbrecht,South Africa

M. Epitropakis, Greece

V. Feoktistov, France

M. Fukumoto, Japan

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K. Gao, SingaporeS. Houben, GermanyJ. Lampinen, FinlandR. Landa, MexicoR. Mallipeddi, SingaporeE. Mezura Montes, MexicoS. Muelas, Spain

A. Mohamed, Egypt

M. N. Omidvar, Australia

Q. Pan, China

M. Pant, India

V. Plagianakos, Greece

K. V. Price, USA

A. K. Qin, China

S. Rahnamayan, Canada

J. Silc, Slovenia

T. Takahama, Japan

F. M. Tasgetiren, Turkey

J. Tvrdik, Czech Republic

M. Yang, China

Y. Wang, China

D. Zaharie, Romania

A. Zamuda, Slovenia

T. Zhang, USA

Keynote: Understanding Differential EvolutionBy Dr. Ferrante Neri Chair: Swagatam DasDate/Time: 8.30 – 9.30, Fri. 19 April 2013 Venue: Galleria Ballroom, Level 3

Session: Theoretical Analysis of the Search Mechanism in DEChair: Ferrante Neri Co-Chair: Janez BrestDate/Time: 8.30 – 10.10, Thu. 18 April 2013 Venue: Kingfisher Level 4

SS-0136 Parameter Control Mechanisms in Differential Evolution: A Tutorial Review and Taxonomy—Tsung-Che Chiang, Cheng-Nan Chen and Yu-Chieh Lin

SS-0158 Fruitless Search in Differential Evolution—A. P. Engelbrecht

SS-0405 A Novel Differential Evolution Algorithm with Gaussian Mutation that Balances Exploration andExploitation—Dong Li, Jie Chen and Bin Xin

SS-0422 A Hybrid Algorithm for Spatial Small Area Estimation Under Models with Complex Contiguity—Georgy Sofronov

SS-0438 Evaluate Till You Violate: A Differential Evolution Algorithm Based on Partial Evaluation of the ConstraintSet—Md Asafuddoula, Tapabrata Ray and Ruhul Sarker

Session: Adaptation and Tuning of the Control Parameters and Perturbation Techniques in DEChair: Swagatam Das Co-Chair: Fatih TasgetirenDate/Time: 10.40 – 12.20, Thu. 18 April 2013 Venue: Kingfisher Level 4

SS-0252 Adaptive Differential Evolution with Difference Mean Based Perturbation for Dynamic Economic DispatchProblem—Rupam Kundu, Rohan Mukherjee, Swagatam Das and Athanasios V. Vasilakos

SS-0376 Micro-Differential Evolution with Extra Moves Along the Axes—Fabio Caraffini, Ferrante Neriand Ilpo Poikolainen

SS-0404 Censoring Mutation in Differential Evolution—Karol Opara and Jaroslaw Arabas

SS-0431 Synchronizing Differential Evolution with a Modified Affinity-Based Mutation Framework—Subhodip Biswas,Souvik Kundu, Digbalay Bose, Swagatam Das and P. N. Suganthan

SS-0134 Performance Tuning of Java EE Application Servers with Multi-Objective Differential Evolution—Marko Lešnik, Borko Boškovic and Janez Brest

Session: Applications of DEChair: Swagatam Das Co-Chair: Fatih TasgetirenDate/Time: 13.40 – 15.20, Thu. 18 April 2013 Venue: Kingfisher Level 4

SS-0287 Investigating Differential Evolution Based Rule Discovery in Learning Classifier Systems—Essam Debie,Kamran Shafi, Chris Lokan and Kathryn Merrick

SS-0339 LuGre Friction Model Identification and Compensator Tuning Using a Differential EvolutionAlgorithm—Philippe Feyel, Gilles Duc and Guillaume Sandou

SS-0667 Null Control in Linear Antenna Arrays with Ensemble Differential Evolution—Mustafa Secmen,M. Fatih Tasgetiren and Korhan Karabulut

SS-0835 An Optimized Watermarking Technique Based on DE in DWT-SVD Domain – Optimized WatermarkingTechnique—Musrrat Ali, Chang Wook Ahn and Millie Pant

SS-1016 A Differential Evolution Based Algorithm for Single Container Loading Problem—B. M. Domingo,S. G. Ponnambalam and G. Kanagaraj

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Session: Constraint Handling, Noisy and Dynamic Optimization with DEChair: Ruhul Sarker Co-Chair: Ferrante NeriDate/Time: 10.40 – 12.20, Fri. 19 April 2013 Venue: Kingfisher Level 4

SS-0049 Differential Evolution with Automatic Population Injection Scheme for Constrained Problems—Saber M. Elsayed and Ruhul A. Sarker

SS-0220 Scheduling the Lot-Streaming Flowshop Scheduling Problem with Setup Time with the Chaos-InducedEnhanced Differential Evolution—Donald Davendra, Magdalena Bialic-Davendra and Roman Senkerik

SS-0756 Dynamic Differential Evolution with Difference Mean Based Perturbation—Rupam Kundu, Rohan Mukherjee,Shantanab Debchoudhury, Swagatam Das and Athanasios V. Vasilakos

SS-0849 Ensemble Crowding Differential Evolution with Neighborhood Mutation for MultimodalOptimization—Sheldon Hui and Ponnuthurai Nagaratnam Suganthan


SS-0747 An Improved Parallel Differential Evolution Approach for Protein Structure Prediction Using Both 2D and3D Off-Lattice Models—Diego H. Kalegari and Heitor S. Lopes

SS-0924 Statistical Analysis of Convergence Performance Throughout the Evolutionary Search: A Case Study withSaDE-MMTS and Sa-EPSDE-MMTS—Joaquín Derrac, Salvador García, Sheldon Hui, Francisco Herrera andPonnuthurai N. Suganthan

SS-1009 A Brief Survey of Differential Evolution on Graphic Processing Units—Pavel Krömer, Jan Platošand Václav Snášel

IEEE Symposium on Swarm Intelligence (IEEE SIS 2013)

The 2013 IEEE Swarm Intelligence Symposium (SIS 2013) will be held in Singapore, April 16 – 19, 2013 It will be part ofthe IEEE Symposium Series on Computational Intelligence 2013, which consists of over 20 symposia. The theme of theSIS2013 is to provide a platform for researchers, academicians, students, engineers, and government officers from all overthe world to share and exchange information in the swarm intelligence research areas ranging from algorithm developmentto real-world applications. Authors are invited to submit their original and unpublished work related to swarm intelligence,including research, theory, development, and applications.

Co-Chair(s)Yuhui ShiXi’an Jiaotong-Liverpool University, China

P. N. SuganthanNanyang Technological University, Singapore

Publicity Co-Chair(s)Licheng JiaoXidian University, China

Yaochu JinHonda Research Institute Europe, Germany

Yanqing ZhangGeorgia State University

Program Committee

Aimin Zhou, ChinaAndreas Janecek, AustriaAndries P. Engelbrecht, South AfricaArun Khosla, IndiaAshraf Abdelbar, EgyptBenlian Xu, ChinaBeat Hirsbrunner, SwitzerlandBernd Meyer, AustraliaBijaya Ketan Panigrahi, IndiaBob Reynolds, USAChristian Blum, SpainColin G. Johnson, UKHaibin DUAN, ChinaHongwei Mo, ChinaJing (Jane) Liang, ChinaJu Liu, China

Jun Sun, ChinaJun Zhang, ChinaLeandro dos Santos Coelho, BrazilLicheng Jiao, ChinaMahamed G. H. Omran, KuwaitMaoguo Gong, ChinaMartin Middendorf, GermanyMaurice Clerc, FranceMengjie Zhang, New ZealandMichael N. Vrahatis, GreeceOscar Cordon, SPAINPayman Arabshahi, USAPrithviraj (Raj) Dasgupta, USAKai Qin, FranceQingfu Zhang, UKSanghyuk Lee, China

Rong Qu, UK

Tao Gong, China

Thomas Stützle, Belgium

Tiew on Ting, China

Tim Blackwell, UK

Vittorio Maniezzo, Italy

Xiaojun Zeng, UK

Xingquan Zuo, China

Xin-she Yang, UK

Xiao-Feng Xie, USA

Yaochu Jin, Germany

Ying Tan, China

Yongsheng Ding, China

Ziad Kobti, Canada

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Keynote: Third Decade of Swarm Intelligence: Looking Beyond Particle Swarms and AntsBy Dr. Swagatam Das Chair: István ErlichDate/Time: 14.30 – 15.30, Tue. 16 April 2013 Venue: Galleria Ballroom, Level 3

Keynote: Learning from Real Ants: Building Robust Ant Algorithms that Always Find the Shortest PathBy Dr. Jayadeva Chair: Yuhui ShiDate/Time: 11.30 – 12.30, Thu. 18 April 2013 Venue: Lyrebird, Level 3

Session: Multimodal and Multi-Objective Optimization ProblemsChair: Jing Liang Co-Chair:Date/Time: 8.30 – 10.10, Tue. 16 April 2013 Venue: Paradiso Level 3

SS-0633 Large-Scale Portfolio Optimization Using Multi-Objective Dynamic Mutli-Swarm Particle SwarmOptimizer—J. J. Liang and B. Y. Qu

SS-0879 Evaluation of the Mean-Variance Mapping Optimization for Solving Multimodal Problems—José L. Rueda andIstván Erlich

SS-1028 Reinforcement Learning in Swarm-Robotics for Multi-Agent Foraging-Task Domain—M. Yogeswaran,S. G. Ponnambalam and G. Kanagaraj

SS-0891 A MapReduce Based Glowworm Swarm Optimization Approach for Multimodal Functions—Ibrahim Aljarahand Simone A. Ludwig

Session: Ant Colony Optimization AlgorithmChair: Oscar Castillo Co-Chair: Shigeo DoiDate/Time: 10.40 – 12.20, Tue. 16 April 2013 Venue: Paradiso Level 3

SS-0155 An Ant Colony System for the Capacitated Vehicle Routing Problem with Uncertain Travel Costs—N. E. Toklu, R. Montemanni and L. M. Gambardella

SS-0406 A New Methodology for Membership Function Design Using Ant Colony Optimization—Evelia Lizárraga Olivas, Oscar Castillo, José Soria and Patricia Melin

SS-0419 Proposal and Evaluation of a Pheromone-Based Algorithm for the Patrolling Problem in DynamicEnvironments—Shigeo Doi

SS-0511 A Novel ACO Algorithm for Dynamic Binary Chains Based on Changes in the System’s Stability—Claudio Iacopino, Phil Palmer, Andrew Brewer, Nicola Policella and Alessandro Donati

SS-0769 A Common Interval Guided ACO Algorithm for Permutation Problems—Martin ClauSS, Matthias Bernt andMartin Middendorf

Session: Swarm Intelligence for Global OptimizationChair: Andries Engelbrecht Co-Chair:Date/Time: 13.40 – 15.20, Tue. 16 April 2013 Venue: Paradiso Level 3

SS-0392 On Adaptive Chaotic Inertia Weights in Particle Swarm Optimization—Martins Akugbe Arasomwan andAderemi Oluyinka Adewumi

SS-0979 Comprehensive Learning Particle Swarm Optimizer with Guidance Vector Selection—Nandar Lynnand P. N. Suganthan

Session: Swarm Intelligence Algorithms - part 1Chair: Hong Wei Mo Co-Chair: Jifeng SunDate/Time: 15.50 – 17.30, Tue. 16 April 2013 Venue: Paradiso Level 3

SS-0086 An Overview of Cuckoo-Inspired Intelligent Algorithms and Their Applications—Bo Xing, Wen-Jing Gao andTshilidzi Marwla

SS-0335 A Spring Oscillator Model Used for Particle Swarm Optimizer—Li Tan and Jifeng Sun

SS-0379 Improved Food Sources in Artificial Bee Colony—Tarun Kumar Sharma, Millie Pant and Chang Wook Ahn

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SS-0381 Parameter Investigation in Brain Storm Optimization—Zhi-Hui Zhan, Wei-Neng Chen, Ying Lin, Yue-Jiao Gong,Yuan-Long Li and Jun Zhang

SS-0883 Solution Clustering Analysis in Brain Storm Optimization Algorithm—Shi Cheng, Yuhui Shi, Quande Qin andShujing Gao

Session: Swarm Intelligence Algorithms – part 2 (4 from QCCI)Chair: Swagatam Das Co-Chair:Date/Time: 8.30 – 10.10, Wed. 17 April 2013 Venue: Paradiso Level 3

SS-0204 A Quantum Neural Network Computes Its Own Relative Phase—Elizabeth C. Behrman and James E. Steck

SS-0361 Bayesian Abductive Inference Using Overlapping Swarm Intelligence—Nathan Fortier, John Sheppard andKarthik Ganesan Pillai

SS-0819 Pilot Quantum Error Correction for Global-Scale Quantum Communications—Laszlo Gyongyosiand Sandor Imre

SS-0833 Polaractivation of Hidden Private Classical Capacity Region of Quantum Channels—Laszlo Gyongyosi

SS-1000 Some Properties of Multi-Qubit States in Non-Inertial Frames—Alaa Sagheer and Hala Hamdoun

Session: Particle Swarm Optimization AlgorithmChair: Quande Qin Co-Chair: Andries EngelbrechtDate/Time: 10.40 – 12.20, Wed. 17 April 2013 Venue: Paradiso Level 3

SS-0179 Clustering Heterogeneous Web Usage Data Using Hierarchical Particle Swarm Optimization—Shafiq Alam,Gillian Dobbie, Yun Sing Koh and Patricia Riddle

SS-0219 Analysis of Stagnation Behavior of Vector Evaluated Particle Swarm Optimization—W. Matthysen,A. P. Engelbrecht and K. M. Malan

SS-0293 Particle Swarm Optimization Based Nearest Neighbor Algorithm on Chinese Text Categorization—Shi Cheng,Yuhui Shi, Quande Qin and T. O. Ting

SS-0294 Cooperative Particle Swarm Optimization in Dynamic Environments—Nikolas J. Unger,Beatrice M. Ombuki-Berman and Andries P. Engelbrecht

SS-0390 A Load-Rebalance PSO Heuristic for Task Matching in Heterogeneous Computing Systems—Manitpal S. Sidhu, Parimala Thulasiraman and Ruppa K. Thulasiram

Session: Swarm Intelligence Algorithms – part 3Chair: Jayadeva Co-Chair: Rutuparna PandaDate/Time: 13.40 – 15.20, Wed. 17 April 2013 Venue: Paradiso Level 3

SS-0145 Design of Two-Dimensional Recursive Filters Using Bacteria Foraging Optimization—Rutuparna Panda,Manoj Kumar Naik and Niranjan Mishra

SS-0292 BFO-ICA Based Multi Focus Image Fusion—S. Agrawal, S. Swain and L. Dora

Session: Applications of Swarm Intelligence – part 2Chair: Martin Middendorf Co-Chair: Panigrahi Bijaya KetanDate/Time: 15.50 – 17.30, Wed. 17 April 2013 Venue: Paradiso Level 3

SS-0653 Global Optimization of a Single Inlet T-Junction Cooling System Using Differential Evolution—Mohar Singh,Ameya Patkar, Millie Pant and Ankit Jain

SS-0720 Self-Organized Cooperation Between Agents that Have to Solve Resource Collection Tasks—Ruby L. V. Moritzand Martin Middendorf

SS-0781 Simple Probabilistic Population Based Optimization for Combinatorial Optimization—Ying-Chi Lin andMartin Middendorf

SS-0859 Optimal Location, Size and Protection Coordination of Distributed Generation in DistributionNetwork—Manohar Singh, B. K. Panigrahi A. R. Abhyankar, Rohan Mukherjee and Rupum Kundu

SS-0871 Design of PID Controller Based Power System Stabilizer Using Modified Philip-Heffron’s Model: AnArtificial Bee Colony Approach—Bagepalli Sreenivas Theja, Anguluri Rajasekhar, D. P. Kothari and Swagatam Das

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Session: Applications of Swarm Intelligence – part 1Chair: Panigrahi Bijaya Ketan Co-Chair: Zhen JiDate/Time: 13.40 – 15.20, Thu. 18 April 2013 Venue: Paradiso Level 3

SS-0046 Teaching – Learning-Based Optimization Approach for Enhancing Remanufacturability Pre-EvaluationSystem’s Reliability—Wen-Jing Gao, Bo Xing and Tshilidzi Marwala

SS-0291 Magnetotactic Bacteria Optimization Algorithm for Multimodal Optimization—Hongwei Mo and Lifang Xu

SS-0254 Migrating Forager Population in a Multi-Population Artificial Bee Colony Algorithm with ModifiedPerturbation Schemes—Subhodip Biswas, Souvik Kundu, Digbalay Bose, Swagatam Das, P. N. Suganthan andB. K. Panigrahi

SS-0352 Optimal Power Flow Using Group Search Optimizer with Intraspecific Competition and Lévy Walk—Y. Z. Li,M. S. Li, Z. Ji and Q. H. Wu


SS-0437 Noisy Source Recognition in Multi Noise Plants by Differential Evolution—Pravesh Kumar and Millie Pant

SS-0861 Joint Energy and Spinning Reserve Dispatch in Wind-Thermal Power System Using IDE-SAR Technique—D. Maity, A. Chowdhury, S. Surender Reddy, B. K. Panigrahi, A. R. Abhyankar and M. K. Mallick


SS-0587 Distributed Swarm Evacuation Planning—Sabrina Merkel, Sanaz Mostaghim, Daniel Blum and Hartmut Schmeck

IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (IEEE T2FUZZ 2013)

Type-1 fuzzy sets have, for more than forty years, laid the basis for a successful method of modelling uncertainty, vaguenessand imprecision. Type-1 Fuzzy Logic Systems (FLSs) have several real world applications and particularly in consumerproducts and control applications. It has been argued that the traditional type-1 FLS which uses crisp type-1 fuzzy setscannot handle high levels of uncertainties appropriately. Nevertheless it has been shown that a type-2 FLS using type-2fuzzy sets can handle higher level of uncertainties better and thus produce a better performance. As such, type-2 FLSs areconsidered to have the potential to overcome the limitations of type-1 FLSs and produce a new generation of fuzzy systemswith improved performance for many applications which require handling high levels of uncertainty.

This symposium will be made up of two sessions of loosely based around theoretical advances and applications of type-2system. We hope you find the symposium enjoyable and that you find the contributions presents stimulating and thoughtprovoking.

Co-Chair(s)Simon CouplandDe Montfort University, UK

Woei Wan TanNational University of Singapore, Singapore

Program Committee

Robert John, University of Nottingham, United Kingdom

Vladik Kreinovich, Uiversity of Texas at El Paso, USA

Jerry Mendel, University of Southern California, USA

Oscar Castillo, Tijuana Institute of Technology, Mexico

Etienne Kerre, University of Gent, Belgium

Woei Wan Tan, National University of Singapore

Leszek Rutkowski, Technical University of Czestochowa

Hongwei Wu, Georgia Institute of Technology, USA

Frank Chung-Hoon Rhee, Hanyang University, Korea

Miguel Melgarejo, Universidad Distrital Francisco José de Caldas,Colombia

Jon Garibaldi, University of Nottingham, United Kingdom

Particia Melin, Tijuana Institute of Technology, Mexico

Christian Wagner, University of Essex, UK

Faiyaz Doctor, Coventry University, UK

Simon Coupland, De Montfort University, UKJethro Shell, De Montfort University, UK

Hussam Hamrawi, University of Bahri, Sudan

Qilian Liang, University of Texas at Arlington, USA

Honghai Liu, University of Portsmouth, UK

Shan-Ming Zhou, University of Swansea, UK

Dongrui Wu, University of Southern California, USA

Feilong Liu, Chevron Energy Technology Company, USA

Mohammad Bilgarbegian, University of Waterloo, Canada

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William Melek, University of Waterloo, CanadaHao Ying, Wayne State University, USAAdam Niewiadomski, University of Lodz, PolandOkyay Kaynak, Bogazci University, TurkeyBurhan Turksen, University of Toronto, Canada

Huberto Bustince, University of Navarra, Spain

John Rickard, Lockheed Martin Corporation, USA

Sergio Guadarrama, European Center for Soft Computing, Spain

Milos Manic, University of Idaho, USA

Session: Type-2 Fuzzy Sets and Systems IChair: Woei Wan Tan Co-Chair: Simon CouplandDate/Time: 15.50 – 17.30, Wed. 17 April 2013 Venue: Sharma Level 4

SS-0078 Employing an Interval Type-2 Fuzzy Logic and Hesitation Index in a Multi Criteria Group Decision MakingSystem for Lighting Level Selection in an Intelligent Environment—Syibrah Naim, Hani Hagrasand Aysenur Bilgin

SS-0551 Using Nonstationary Fuzzy Sets to Improve the Tractability of Fuzzy Association Rules—Simon Coupland andStephen G. Matthews

SS-0659 Shadowed Type-2 Fuzzy Logic Systems—Dumidu Wijayasekara, Ondrej Linda and Milos Manic

Session: Type-2 Fuzzy Sets and Systems IIChair: Simon Coupland Co-Chair: Woei Wan TanDate/Time: 10.40 – 12.20, Thu. 18 April 2013 Venue: Sharma Level 4

SS-0321 Fuzzistics for Interval Type-2 Fuzzy Sets Using Centroid as Measure of Uncertainty—Maowen Nieand Woei Wan Tan

SS-0826 Type-2 Fuzzy SARIMA System for Real-Valued Uncertain Non-Stationary Data-Intensive Seasonal TimeSeries—Yuying Wang and Robert John

SS-0982 An Edge Detection Method Based on Generalized Type-2 Fuzzy Logic—Claudia Gonzalez, Juan R. Castro,Patricia Melin and Oscar Castillo

SS-0487 Juzzy – A Java based Toolkit for Type-2 Fuzzy Logic – An object-oriented toolkit for the development oftype-1, interval type-2 and general type-2 fuzzy systems—Christian Wagner

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Brief Contents - Nanyang Technological University | NTU · Brief Contents Message from General Chair 2 ... Huaguang Zhang Keynote Speaker ... All food served during the conference