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The primary benefit of a MINIMAX objective function is

a. it yields any feasible solution by changing the weights.
b. it is limited to all corner points.
c. it yields a larger variety of solutions than generally available using an LP method.
d. it makes many of the deviational variables equal to zero.

Respuesta :

Answer:

The correct answer is letter "C": it yields a larger variety of solutions than generally available using an LP method.

Explanation:

In Goal Programming (GP), the MINIMAX objective aims to minimize the maximum deviation from any type of objective. This approach carries a larger number of solutions compared to the Linear Programming (LP) method which mainly focuses on assigning more weight to each goal in the objective function.

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