Simulation-based optimization

  • Authors:
  • Averill M. Law;Michael G. McComas

  • Affiliations:
  • Averill M. Law & Associates, Inc., Tucson, AZ;Averill M. Law & Associates, Inc., Tucson, AZ

  • Venue:
  • Proceedings of the 32nd conference on Winter simulation
  • Year:
  • 2000

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Abstract

In this tutorial we present an introduction to simulation-based optimization, which is, perhaps, the "hottest" topic in discrete-event simulation today. We give a precise statement of the problem being addressed and also experimental results for two commercial optimization packages applied to a manufacturing example with seven decision variables.