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Simulation optimization: simulation-based optimization
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Source Winter Simulation Conference archive
Proceedings of the 34th conference on Winter simulation: exploring new frontiers table of contents
San Diego, California
SESSION: Introductory tutorials table of contents
Pages: 41 - 44  
Year of Publication: 2002
ISBN:0-7803-7615-3
Authors
Averill M. Law  Averill M. Law and Associates, Inc., Tucson, AZ
Michael G. McComas  Averill M. Law and Associates, Inc., Tucson, AZ
Sponsors
IEEE/CS : Institute of Electrical and Electronics Engineers/Computer Society
ASA : American Statistical Association
IEEE/SMCS : Institute of Electrical and Electronics Engineers/Systems, Man, and Cybernetics Society
INFORMS/CS : Institute for Operations Research and the Management Sciences/College on Simulation
NIST : National Institute of Standards and Technology
ACM: Association for Computing Machinery
(SCS) : The Society for Modeling and Simulation International
SIGSIM: ACM Special Interest Group on Simulation and Modeling
IIE : Institute of Industrial Engineers
Publisher
Winter Simulation Conference 
Bibliometrics
Downloads (6 Weeks): 2,   Downloads (12 Months): 27,   Citation Count: 7
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ABSTRACT

In this tutorial we present an introduction to simulation-based optimization, which is, perhaps, the most important new simulation technology in the last five years. We give a precise statement of the problem being addressed and also experimental results for two commercial optimization packages applied to a manufacturing example with seven decision variables.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Thomas Bäck , Hans-Paul Schwefel, An overview of evolutionary algorithms for parameter optimization, Evolutionary Computation, v.1 n.1, p.1-23, Spring 1993
 
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Glover, F., J. P. Kelly, and M. Laguna. 2002. The OptQuest Callable Library User's Documentation. Boulder, Colorado: Optimization Technologies, Inc.
 
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Lanner Group, Inc. 2002. WITNESS Optimizer Module. Houston, Texas.
 
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Collaborative Colleagues:
Averill M. Law: colleagues
Michael G. McComas: colleagues