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On the performance of the cross-entropy method

  • Stony Brook University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

20 Scopus citations

Abstract

We study the recently introduced Cross-Entropy (CE) method for optimization, an iterative random sampling approach that is based on sampling and updating an underlying distribution function over the set of feasible solutions. In particular, we propose a systematic approach to investigate the convergence and asymptotic convergence rate for the CE method through a novel connection with the well-known stochastic approximation procedures. Extensions of the approach to stochastic optimization will also be discussed.

Original languageEnglish
Title of host publicationProceedings of the 2009 Winter Simulation Conference, WSC 2009
Pages459-468
Number of pages10
DOIs
StatePublished - 2009
Event2009 Winter Simulation Conference, WSC 2009 - Austin, TX, United States
Duration: Dec 13 2009Dec 16 2009

Publication series

NameProceedings - Winter Simulation Conference
ISSN (Print)0891-7736

Conference

Conference2009 Winter Simulation Conference, WSC 2009
Country/TerritoryUnited States
CityAustin, TX
Period12/13/0912/16/09

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