New mutation strategies of differential evolution based on clearing niche mechanism

Yanan Li, Haixiang Guo, Xiao Liu, Yijing Li, Wenwen Pan, Bing Gong, Shaoning Pang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

8 Citations (Scopus)

Abstract

Abstract: Although differential evolution (DE) algorithms have been widely proposed for tackling various of problems, the trade-off among population diversity, global and local exploration ability, and convergence rate is hard to maintain with the existing strategies. From this respective, this paper presents some new mutation strategies of DE by applying the clearing niche mechanism to the existing mutation strategies. Insteading of using random, best or target individuals as base vector, the niche individuals are utilized in these strategies. As the base vector is from a subpopulation, which is made up of the best individuals in each niche, the base vector can be guided by the global or local best ones. This mechanism is beneficial to the balance among population diversity, search capability, and convergence rate of DE, since it can both enhance the population diversity and search capability. Extensive experimental results indicate that the proposed strategies based on clearing niche mechanism can effectively enhance DE’s performance. Graphical Abstract : [Figure not available: see fulltext.].

Original languageEnglish
Pages (from-to)5939-5974
Number of pages36
JournalSoft Computing
Volume21
Issue number20
DOIs
Publication statusPublished - 1 Oct 2017
Externally publishedYes

Keywords

  • Clearing mechanism
  • Differential evolution
  • Niche
  • Niche radius

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Software
  • Geometry and Topology

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