Experimental comparisons of derivative free optimization algorithms (invited talk)

  • A. Auger
  • , N. Hansen
  • , J. M. Perez Zerpa
  • , R. Ros
  • , M. Schoenauer

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

Abstract

In this paper, the performances of the quasi-Newton BFGS algorithm, the NEWUOA derivative free optimizer, the Covariance Matrix Adaptation Evolution Strategy (CMA-ES), the Differential Evolution (DE) algorithm and Particle Swarm Optimizers (PSO) are compared experimentally on benchmark functions reflecting important challenges encountered in real-world optimization problems. Dependence of the performances in the conditioning of the problem and rotational invariance of the algorithms are in particular investigated.

Original languageEnglish
Title of host publicationExperimental Algorithms - 8th International Symposium, SEA 2009, Proceedings
Pages3-15
Number of pages13
DOIs
Publication statusPublished - 20 Aug 2009
Externally publishedYes
Event8th International Symposium on Experimental Algorithms, SEA 2009 - Dortmund, Germany
Duration: 4 Jun 20096 Jun 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5526 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Symposium on Experimental Algorithms, SEA 2009
Country/TerritoryGermany
CityDortmund
Period4/06/096/06/09

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