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Simulation optimization: towards a framework for black-box simulation optimization
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Source Winter Simulation Conference archive
Proceedings of the 33nd conference on Winter simulation table of contents
Arlington, Virginia
SESSION: Analysis methodology table of contents
Pages: 300 - 306  
Year of Publication: 2001
ISBN:0-7803-7309-X
Authors
Sigurdur Ólafsson  Iowa State University, Ames, IA
Jumi Kim  Iowa State University, Ames, IA
Sponsors
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
NIST : National Institute of Standards and Technology
ACM: Association for Computing Machinery
SCS : The Society for Computer Simulation International
SIGSIM: ACM Special Interest Group on Simulation and Modeling
IIE : Institute of Industrial Engineers
IEEE/CS : Institute of Electrical and Electronics Engineers/Computer Society
ASA : American Statistical Association
Publisher
IEEE Computer Society  Washington, DC, USA
Bibliometrics
Downloads (6 Weeks): 1,   Downloads (12 Months): 18,   Citation Count: 3
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ABSTRACT

Optimization using simulation has increased in popularity in recent years as more and more simulation packages now offer optimization features. At the same time, academic research in this area has grown, but more work is needed to bring results from the academic community to solve practical problems. This paper describes an effort in this direction. We present a framework that can be used to effectively solve large combinatorial-type simulation optimization problems in an automated or semi-automated manner.


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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Boesel, J., B. L. Nelson, and N. Ishii. 1999. "A Framework for Simulation-Optimization Software," Preprint, Northwestern University.
 
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Jacobson, S. H. and L. W. Schruben. 1989. "A Review of Techniques for Simulation Optimization," Operations Research Letters, 8, 1-9.
 
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Mitchell, T. M. 1987. Machine Learning, McGraw-Hill, Boston, MA.
 
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Matejcik, F. J. and B. L. Nelson. 1995. "Two-Stage Multiple Comparisons with the Best for Computer Simulation," Operations Research, 43, 633-640.
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Ólafsson, S. and L. Shi. 2000. "A Method for Scheduling in Parallel Manufacturing Systems with Flexible Resources" IIE Transactions on Scheduling and Logistics, 32: 135-146.
 
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Rinott, Y. 1978. "On Two-Stage Selection Procedures and Related Probability-in-Equalities," Communications in Statistics, A7, 799-811.
 
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Collaborative Colleagues:
Sigurdur Ólafsson: colleagues
Jumi Kim: colleagues

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