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Simulation cloning with induced negative correlation

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  • Judy S Lee
  • Sigrún Andradóttir
  • Richard M Fujimoto

Abstract

Simulation cloning involves expediting a simulation by sharing computational results among different sample paths. It resembles the idea of splitting, which is widely researched in rare event simulation, as splitting techniques also produce clones when a sample path reaches a certain state. In this paper, we consider the use of simulation cloning for estimation of performance measures via transient simulation. In addition to the basic cloning approach, we present simulation cloning algorithms with induced negative correlation to reduce variance. We also consider the possibility of cloning the simulation at multiple (two) decision points. Numerical experiments are provided to illustrate the effectiveness of our algorithms. In real-life situations where simulating one replication is expensive and variability is larger in the replicated part of the simulation, simulation cloning can significantly improve the efficiency of the simulation.

Suggested Citation

  • Judy S Lee & Sigrún Andradóttir & Richard M Fujimoto, 2017. "Simulation cloning with induced negative correlation," Journal of Simulation, Taylor & Francis Journals, vol. 11(4), pages 391-406, November.
    • Handle: RePEc:taf:tjsmxx:v:11:y:2017:i:4:p:391-406
    DOI: 10.1057/s41273-016-0028-7
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