Parameter control mechanisms in differential evolution: A tutorial review and taxonomy

Tsung Che Chiang, Cheng Nan Chen, Yu Chieh Lin

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

16 Citations (Scopus)

Abstract

Differential evolution (DE) is a promising algorithm for continuous optimization. Its two parameters, CR and F, have great effect on the algorithm performance. In recent years many DE algorithms with parameter control mechanisms were proposed. In this paper we propose a taxonomy to classify these algorithms according to the number of candidate parameter values, the number of parameter values used in a single generation, and the source of considered information. We classify twenty-three recent studies into nine categories and review their design features. Two types of relationships between these algorithms and several research directions are also summarized.

Original languageEnglish
Title of host publicationProceedings of the 2013 IEEE Symposium on Differential Evolution, SDE 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
Pages1-8
Number of pages8
DOIs
Publication statusPublished - 2013
Event2013 IEEE Symposium on Differential Evolution, SDE 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013 - Singapore, Singapore
Duration: 2013 Apr 162013 Apr 19

Publication series

NameProceedings of the 2013 IEEE Symposium on Differential Evolution, SDE 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

Other

Other2013 IEEE Symposium on Differential Evolution, SDE 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
Country/TerritorySingapore
CitySingapore
Period2013/04/162013/04/19

Keywords

  • adaptive
  • classification
  • differential evolution
  • parameter control
  • self-adaptive
  • taxonomy

ASJC Scopus subject areas

  • Artificial Intelligence

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