Q1 Suppose that the following constraints have been provided for a linear programming model with decision variables x1and x2
- x1,3x2< 30
-3x1+ x2<30
and
x1>0 x2.0
I) Demonstrate graphically that the feasible region ¡s unbounded.
ii) If the objective is to maximize Z - x1+ x2, does the model have an optimal solution? If so, find ¡t. If not, explain why not.
iii) Repeat part (ii) when the objective is to maximize Z = x1- x2.
iv) For objective functions where this model has no optimal solution, does this mean that there are no good solutions according to the model? Explain. What probably went wrong when formulating the model?
v) Select an objective function for which this model has no optimal solution. Then work through the simplex method step by step to demonstrate that Z is unbounded.
Q2 hydroelectric power systems planning
An agency controls the operation of a system Consisting of two water reservoirs with one hydroeJec power generation plant attached to each as Shown in Fig. 2.1. The planning horizon for the system is broken into two periods. When the reservoir is at full capacity, additional inflowing water is spilled over a spillway. In addition, water can also be released through a spillway as desired for flood protection purposes. Spilled water does not produce any electricitý.
Q3:
i) Reformulate this problem to fit the canonical form for a linear programming model.
ii) Using the Big M method, work through the simplex method step by step to solve the problem.
iii) Using the two-phase method, work through the simplex method step by step to solve the problem.
iv) Compare the sequence of 8F solutions obtained ¡n parts (b) and (c). What conclusion you can derive from this comparison?
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