Simulation optimization

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Simulation optimization: towards a framework for black-box simulation optimization

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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): 0, Downloads (12 Months): 9, 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.

	1	Sigrún Andradóttir, A review of simulation optimization techniques, Proceedings of the 30th conference on Winter simulation, p.151-158, December 13-16, 1998, Washington, D.C., United States
	2	Boesel, J., B. L. Nelson, and N. Ishii. 1999. "A Framework for Simulation-Optimization Software," Preprint, Northwestern University.
	3	Jacobson, S. H. and L. W. Schruben. 1989. "A Review of Techniques for Simulation Optimization," Operations Research Letters, 8, 1-9.
	4	Mitchell, T. M. 1987. Machine Learning, McGraw-Hill, Boston, MA.
	5	Matejcik, F. J. and B. L. Nelson. 1995. "Two-Stage Multiple Comparisons with the Best for Computer Simulation," Operations Research, 43, 633-640.
	6	Sigurdur Ólafsson, Iterative ranking-and-selection for large-scale optimization, Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future, p.479-485, December 05-08, 1999, Phoenix, Arizona, United States [doi>10.1145/324138.324302]
	7	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.
	8	Rinott, Y. 1978. "On Two-Stage Selection Procedures and Related Probability-in-Equalities," Communications in Statistics, A7, 799-811.
	9	Leyuan Shi , Sigurdur Ólafsson, An integrated framework for deterministic and stochastic optimization, Proceedings of the 29th conference on Winter simulation, p.358-365, December 07-10, 1997, Atlanta, Georgia, United States [doi>10.1145/268437.268508]
	10	Leyuan Shi , Sigurdur Ólafsson, Nested Partitions Method for Global Optimization, Operations Research, v.48 n.3, p.390-407, May 2000 [doi>10.1287/opre.48.3.390.12436]
	11	James R. Swisher , Paul D. Hyden , Sheldon H. Jacobson , Lee W. Schruben, Simulation optimization: a survey of simulation optimization techniques and procedures, Proceedings of the 32nd conference on Winter simulation, December 10-13, 2000, Orlando, Florida

CITED BY 3

	Sigurdur Ólafsson , Jumi Kim, Simulation optimization: simulation optimization, Proceedings of the 34th conference on Winter simulation: exploring new frontiers, December 08-11, 2002, San Diego, California
	Jumi Kim , Sigurdur Ólafsson, Optimization via simulation: two-stage NP method with inheritance, Proceedings of the 34th conference on Winter simulation: exploring new frontiers, December 08-11, 2002, San Diego, California
	Gianpaolo Ghiani , Pasquale Legato , Roberto Musmanno , Francesca Vocaturo, A combined procedure for discrete simulation---optimization problems based on the simulated annealing framework, Computational Optimization and Applications, v.38 n.1, p.133-145, September 2007