Title

Multi-Response Simulation Optimization Using Stochastic Genetic Search Within A Goal Programming Framework

Abstract

This study presents a new approach to solve multi-response simulation optimization problems. This approach integrates a simulation model with a genetic algorithm heuristic and a goal programming model. The genetic algorithm technique offers a very flexible and reliable tool able to search for a solution within a global context. This method was modified to perform the search considering the mean and the variance of the responses. In this way, the search is performed stochastically, and not deterministically like most of the approaches reported in the literature. The goal programming model integrated with the genetic algorithm and the stochastic search present a new approach able to lead a search towards a multi-objective solution.

Publication Date

12-1-2000

Publication Title

Winter Simulation Conference Proceedings

Volume

1

Number of Pages

788-794

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

0034430158 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0034430158

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