| Simulation optimization: towards a framework for black-box simulation optimization |
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Winter Simulation Conference
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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
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IEEE Computer Society
Washington, DC, USA
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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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