Optimization of systems with multiple performance measures via simulation: Survey and recommendations

Scott L. Rosen; Catherine M. Harmonosky; Mark T. Traband

doi:10.1016/j.cie.2007.07.004

Optimization of systems with multiple performance measures via simulation: Survey and recommendations

Scott L. Rosen, Catherine M. Harmonosky, Mark T. Traband

Research output: Contribution to journal › Article › peer-review

25 Scopus citations

Abstract

Computer simulation is a powerful evaluative tool for the design and configuration of stochastic systems. Methodologies are needed that assist simulation end users in locating high quality design alternatives to the real system through the use of their simulation models. This paper focuses specifically on the simulation optimization problem that involves multiple performance measures. It surveys available methodologies for this problem and discusses notable strengths and weaknesses of each. Suggestions are made for future research that alleviates the common weakness of the reviewed literature.

Original language	English (US)
Pages (from-to)	327-339
Number of pages	13
Journal	Computers and Industrial Engineering
Volume	54
Issue number	2
DOIs	https://doi.org/10.1016/j.cie.2007.07.004
State	Published - Mar 2008

All Science Journal Classification (ASJC) codes

General Computer Science
General Engineering

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10.1016/j.cie.2007.07.004

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Optimization of systems with multiple performance measures via simulation: Survey and recommendations

Abstract

All Science Journal Classification (ASJC) codes

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