The optimization technique used to maximize the objective function when there are multiple constraints is the:
A)simplex method.
B)graphic method.
C)trial-and-error method.
D)set-up method.
E)operating method.

Question

Quizplus · Accepted Answer

The simplex method is the most commonly used optimization technique for problems with multiple constraints. It is a systematic and efficient method that iteratively improves the objective function by moving towards the optimal solution through feasible directions. It is also capable of handling large-scale problems with many variables and constraints. The graphic method is useful when there are only two variables, but it becomes impractical when there are more variables. The trial-and-error method and the set-up and operating methods are not formal optimization techniques and are not useful for problems with multiple constraints.

The Optimization Technique Used to Maximize the Objective Function When