Question: Problem 3 Consider the following deterministic optimization problem: Minimise q , f ( x 1 , x 2 ) = 0 . 2 5 x

Problem 3
Consider the following deterministic optimization problem:
Minimise
q,f(x1,x2)=0.25x12+x22
Subject to:
(x1,x2)=5-x1-x2=0
g(x1,x2)-=x1+0.2x2-30
Now, assume that the 0.25 coefficient that appears in the objective function represents an uncertain
parameter. Let's call this parameter C. The scenarios for the value of C and corresponding
probability are given in the table below.
Formulate the above problem as a stochastic program. Assume that x1 and x2 are both here-and-
now decision variables.
Problem 4
Again, consider the deterministic problem given in Problem 3.
Assume that the 0.25 coefficient that appears in the objective function represents an uncertain
parameter. Let's call this parameter C. The scenarios for the value of C and corresponding
probability are given in the table above (see Problem 3).
Also, assume that the 3 that appears in the inequality constraint represents an uncertain parameter.
Let's call this parameter D. The scenarios for the value of D and corresponding probability are
given in the table below
a) Construct a scenario tree.
b) Formulate the problem as a stochastic program. Assume that x1 and x2 are both here-and-
now decision variables.
 Problem 3 Consider the following deterministic optimization problem: Minimise q,f(x1,x2)=0.25x12+x22 Subject

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