Strategies for optimization of multiple-response simulation models

This paper examines several procedures for optimizing simulation models having controllable input variables xi,i &equil; 1,...,n and yielding responses nj,j &equil; 1,...,m. This problem is often formulated as a constrained optimization problem, or it can be formulated in one of several multiple-objective formats, including goal programming. Whatever the mode of problem formulation, the optimization of multiple-response simulations can be approached through direct search methods, a sequence of first-order response-surface experiments, or by applying mathematical programming techniques to a set of second-order response surfaces.

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