Optimization of stochastic systems

  • Authors:
  • Peter W. Glynn

  • Affiliations:
  • Department of Industrial Engineering, and Mathematics Research Center, University of Wisconsin-Madison, Madison, WI

  • Venue:
  • WSC '86 Proceedings of the 18th conference on Winter simulation
  • Year:
  • 1986

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Abstract

This paper gives a short survey of Monte Carlo algorithms for stochastic optimization. Both discrete and continuous parameter stochastic optimization are discussed, with emphasis on the analysis of convergence rate. Some future research directions for the area are also indicated.