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Vector evaluated differential evolution for multiobjective optimization

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published
  • K. E. Parsopoulos
  • D. K. Tasoulis
  • N. G. Pavlidis
  • V. P. Plagianakos
  • M. N. Vrahatis
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Publication date13/09/2004
Host publicationProceedings of the 2004 Congress on Evolutionary Computation, CEC2004
PublisherIEEE
Pages204-211
Number of pages8
ISBN (print)0780385152, 9780780385153
<mark>Original language</mark>English
EventProceedings of the 2004 Congress on Evolutionary Computation, CEC2004 - Portland, OR, United States
Duration: 19/06/200423/06/2004

Conference

ConferenceProceedings of the 2004 Congress on Evolutionary Computation, CEC2004
Country/TerritoryUnited States
CityPortland, OR
Period19/06/0423/06/04

Publication series

NameProceedings of the 2004 Congress on Evolutionary Computation, CEC2004
Volume1

Conference

ConferenceProceedings of the 2004 Congress on Evolutionary Computation, CEC2004
Country/TerritoryUnited States
CityPortland, OR
Period19/06/0423/06/04

Abstract

A parallel, multi-population Differential Evolution algorithm for multiobjective optimization is introduced. The algorithm is equipped with a domination selection operator to enhance its performance by favoring non-dominated individuals in the populations. Preliminary experimental results on widely used test problems are promising. Comparisons with the VEGA approach are provided and discussed.