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Special topics on simulation analysis: better-than-optimal simulation run allocation?

Published: 07 December 2003 Publication History

Abstract

Simulation is a popular tool for decision making. However, simulation efficiency is still a big concern particularly when multiple system designs must be simulated in order to find a best design. Simulation run allocation has emerged as an important research topic for simulation efficiency improvement. By allocating simulation runs in a more intelligent way, the total simulation time can be dramatically reduced. In this paper we develop a new simulation run allocation scheme. We compare the new approach with several different approaches. One benchmark approach assumes that the means and variances for all designs are known so that the theoretically optimal allocation can be found. It is interesting to observe that an approximation approach called OCBA does better than this theoretically optimal allocatio. Moreover, a randomized version of OCBA may outperform OCBA in some cases.

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Cited By

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  • (2004)Optimal computing budget allocation under correlated samplingProceedings of the 36th conference on Winter simulation10.5555/1161734.1161844(595-603)Online publication date: 5-Dec-2004
  • (2004)Optimal computing budget allocation for multi-objective simulation modelsProceedings of the 36th conference on Winter simulation10.5555/1161734.1161843(586-594)Online publication date: 5-Dec-2004

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Information

Published In

cover image ACM Conferences
WSC '03: Proceedings of the 35th conference on Winter simulation: driving innovation
December 2003
2094 pages
ISBN:0780381327

Sponsors

  • IIE: Institute of Industrial Engineers
  • INFORMS/CS: Institute for Operations Research and the Management Sciences/College on Simulation
  • ASA: American Statistical Association
  • ACM: Association for Computing Machinery
  • SIGSIM: ACM Special Interest Group on Simulation and Modeling
  • IEEE/CS: Institute of Electrical and Electronics Engineers/Computer Society
  • NIST: National Institute of Standards and Technology
  • (SCS): The Society for Modeling and Simulation International
  • IEEE/SMCS: Institute of Electrical and Electronics Engineers/Systems, Man, and Cybernetics Society

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Winter Simulation Conference

Publication History

Published: 07 December 2003

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WSC03
Sponsor:
  • IIE
  • INFORMS/CS
  • ASA
  • ACM
  • SIGSIM
  • IEEE/CS
  • NIST
  • (SCS)
  • IEEE/SMCS
WSC03: Winter Simulation Conference 2003
December 7 - 10, 2003
Louisiana, New Orleans

Acceptance Rates

WSC '03 Paper Acceptance Rate 128 of 189 submissions, 68%;
Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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Cited By

View all
  • (2004)Optimal computing budget allocation under correlated samplingProceedings of the 36th conference on Winter simulation10.5555/1161734.1161844(595-603)Online publication date: 5-Dec-2004
  • (2004)Optimal computing budget allocation for multi-objective simulation modelsProceedings of the 36th conference on Winter simulation10.5555/1161734.1161843(586-594)Online publication date: 5-Dec-2004

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