Modifications of the Nedler-Mead simplex method for stochastic simulation response optimization

Russell R. Barton, John S. Ivey

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Scopus citations

Abstract

It is pointed out that the Nelder-Mead simplex method rescaling and shrinking steps make it sensitive to random variations in the response function values, and introduce risks of false convergence on stochastic functions. The authors give analytical and empirical evidence that characterizes false convergence on stochastic functions, and discuss several modifications to reduce the likelihood of false convergence. They describe a computational comparison of several modifications when used to optimize simple stochastic functions of two and ten variables.

Original languageEnglish (US)
Title of host publicationWinter Simulation Conference Proceedings
PublisherPubl by IEEE
Pages945-953
Number of pages9
ISBN (Print)078030181X
StatePublished - Dec 1 1991
Event1991 Winter Simulation Conference Proceedings - Phoenix, AZ, USA
Duration: Dec 8 1991Dec 11 1991

Publication series

NameWinter Simulation Conference Proceedings
ISSN (Print)0275-0708

Other

Other1991 Winter Simulation Conference Proceedings
CityPhoenix, AZ, USA
Period12/8/9112/11/91

All Science Journal Classification (ASJC) codes

  • Software
  • Modeling and Simulation
  • Safety, Risk, Reliability and Quality
  • Chemical Health and Safety
  • Applied Mathematics

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