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Simulation-based optimization
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Source Winter Simulation Conference archive
Proceedings of the 32nd conference on Winter simulation table of contents
Orlando, Florida
TUTORIAL SESSION: Introductory tutorials table of contents
Pages: 46 - 49  
Year of Publication: 2000
ISBN:0-7803-6582-8
Authors
Averill M. Law  Averill M. Law & Associates, Inc., Tucson, AZ
Michael G. McComas  Averill M. Law & Associates, Inc., Tucson, AZ
Sponsors
IIE : Institute of Industrial Engineers
ASA : American Statistical Association
IEEE/CS : Institute of Electrical and Electronics Engineers/Computer Society
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
SIGSIM: ACM Special Interest Group on Simulation and Modeling
SCS : The Society for Computer Simulation International
Publisher
Bibliometrics
Downloads (6 Weeks): 6,   Downloads (12 Months): 40,   Citation Count: 3
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abstract   references   cited by   collaborative colleagues  

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ABSTRACT

In this tutorial we present an introduction to simulation-based optimization, which is, perhaps, the "hottest" topic in discrete-event simulation today. 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.

 
1
Glover, F., J. P. Kelly, and M. Laguna, 1999. The OptQuest callable library user's documentation, Optimization Technologies, Inc., Boulder, Colorado.
 
2
Lanner Group, Inc., 1998. WITNESS optimizer module, Release 2, Houston, Texas.
 
3

Collaborative Colleagues:
Averill M. Law: colleagues
Michael G. McComas: colleagues