A genetic algorithm and an indifference-zone ranking and selection framework for simulation optimization

  • Authors:
  • Henrik E. Hedlund;Mansooreh Mollaghasemi

  • Affiliations:
  • University of Central Florida, Orlando, FL;University of Central Florida, Orlando, FL

  • Venue:
  • Proceedings of the 33nd conference on Winter simulation
  • Year:
  • 2001

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Abstract

A methodology for optimization of simulation models is presented. The methodology is based on a genetic algorithm in conjunction with an indifference-zone ranking and selection procedure under common random numbers. An application of this optimization algorithm to a stochastic mathematical model is provided in this paper.