RR (miles)

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Figure 1. Initial development of a two-variable graph for the road construction problem, with the miles of rocked roads to be built on the Y-axis, and the amount of woods roads to be built on the X-axis. 10. 8. 6. RR (miles). 4. 2. 0. 0. 2. 4. 6. 8. 10. WR (miles). - PowerPoint PPT Presentation

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RR(miles)

WR(miles)

2 4 6 8 1000

2

4

6

8

10

Figure 1. Initial development of a two-variable graph for the road construction problem, with the miles of rocked roads to be built on the Y-axis, and the amount of woods roads to be built on the X-axis.

RR(miles)

WR(miles)

2 4 6 8 1000

2

4

6

8

10

30,000 WR + 50,000 RR 300,000

Feasible region

Figure 2. The budget constraint for the road construction problem.

RR(miles)

WR(miles)

2 4 6 8 1000

2

4

6

8

10

30,000 WR + 50,000 RR 300,000

RR 1.5

RR 4

WR 2.5 WR 6

Figure 3. A graph of the entire set of constraints to the road construction problem, and the areas related to the constraints where solutions are feasible.

RR(miles)

WR(miles)

2 4 6 8 1000

2

4

6

8

10

RR + WR = 8

RR + WR = 4

Figure 4. Identification of the optimal solution to the road construction problem using a family of objective functions.

RR + WR = 8.4

DS(trees)

CS(trees)

400 800 1,200 1,600 2,00000

400

800

1,200

1,600

2,000

100 DS + 50 CS 80,000

DS 100

CS 250

DS 600

Figure 5. The graphed constraints to the snag development problem, and the identification of the feasible region (gray area).

DS(trees)

CS(trees)

400 800 1,200 1,600 2,00000

400

800

1,200

1,600

2,000

CS + DS = 1,500

Figure 6. The optimal solution to the snag development problem.

Logs(miles)

Boulders(miles)

5 10 15 20 2500

5

10

15

20

25

10,000 Logs + 21,000 Boulders 250,000

Logs 5

Boulders 2.5

Boulders 7.5

Figure 7. The constraints and feasible region (gray area) associated with the fish habitat problem.

Figure 8. Hurricane damage to a pine stand after Hurricane Katrinain 2005.

Figure 9. Identification of the feasible region and optimal solution to the hurricane clean-up problem of cost minimization using a family of objective functions.

200,000

600,000

1,000,000

800,000

400,000

CH 400,000

CPB 300,000

CPB 500,000

CH + CPB 1,000,000

CH ($)

CPB ($)

CH + CPB

0

0 200,000 400,000 600,000 800,000 1,000,000

Logs(miles)

Boulders(miles)

5 10 15 20 2500

5

10

15

20

25

10,000 Logs + 21,000 Boulders 250,000

Logs 5

Boulders 2.5

Boulders 7.5

Boulders + Logs 15

A

B

Figure 10. A modified fish habitat problem, with multiple optimal solutions.

Timbervolume

Wildlifehabitat

A

B

C

D

(Feasible region solutions)

Figure 11. An example of efficient, feasible, inefficient, and infeasible solutions to a broad timber harvest and wildlife habitat management problem.

(Figure for question 7)

Roads

Streams

Streams to be treated with logs or boulders

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