consider an optimization problem with 2 decision variables x

consider an optimization problem with 2 decision variables x1 and x2 the objective is to maximize z=c1x1 + 4x2
where c1 is a parameter. the feasible solution space is nonconvex and is shaded in the figure

a) determine all values of c1 fow which x1=2, x2=3 is an optimum solution

b) represent the feasible solution space by a set of linear constraints that should simultaneously be satisfied. add binary variables where needed.


Solution

Consider optimization problem   Maximize Z=c1 x1 +4x2

An optimal solution to a lineaar program is a feasible solution with the largest objective value.

Non linear non convex optimization problems can have their optimal point everywhere.Non convex optimization may have multiple locally optimal points.

a) let x1=2 and   x2 =3 to determine the values of c1 for an optimum solution

Z= 2c1 +4(3) = therefore Z= 2c1+12

c1 can take up values such that Z should have maximum values therefore c1 can have values greater than 3.

b) The linear constraints are

x1 >-0 , x2>-0

x1 +x2 >-4

x1 +x2 >-3

consider an optimization problem with 2 decision variables x1 and x2 the objective is to maximize z=c1x1 + 4x2 where c1 is a parameter. the feasible solution sp

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