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Simulation optimization: a survey of simulation optimization techniques and procedures

Authors:

James R. Swisher,

Sheldon H. Jacobson,

Lee W. SchrubenAuthors Info & Claims

WSC '00: Proceedings of the 32nd conference on Winter simulation

Pages 119 - 128

Published: 10 December 2000 Publication History

Abstract

Discrete-event simulation optimization is a problem of significant interest to practitioners interested in extracting useful information about an actual (or yet to be designed) system that can be modeled using discrete-event simulation. This paper presents a brief survey of the literature on discrete-event simulation optimization over the past decade (1988 to the present). Swisher et al. (2000) provides a more comprehensive review of this topic while Jacobson and Schruben (1989) covers the literature preceding 1988. Optimization of both discrete and continuous input parameters are examined herein. The continuous input parameter case is separated into gradient and non-gradient based optimization procedures. The discrete input parameter case differentiates techniques appropriate for small and for large numbers of feasible input parameter values.

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cover image ACM Conferences

WSC '00: Proceedings of the 32nd conference on Winter simulation

December 2000

2014 pages

ISBN:0780365828

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IIE: Institute of Industrial Engineers
ASA: American Statistical Association
SIGSIM: ACM Special Interest Group on Simulation and Modeling
IEEE/CS: Institute of Electrical and Electronics Engineers/Computer Society
NIST: National Institute of Standards and Technology
INFORMS-CS: Institute for Operations Research and the Management Sciences-College on Simulation
IEEE/SMCS: Institute of Electrical and Electronics Engineers/Systems, Man, and Cybernetics Society
SCS: The Society for Computer Simulation International

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WSC00: Winter Simulation Conference

December 10 - 13, 2000

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