Cooperative particle swarm optimizer with improved elimination mechanism for global optimization

Geng Zhang, Yangmin Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

This paper develops a new elimination mechanism strategy to improve the performance of cooperative particle swarm optimizer with elimination mechanism (CPSO-EM) algorithm which is proposed to extract better vector elements by analyzing features of cooperative particle swarm optimizer (CPSO). The extracting method is simple and has the potential to be improved. The proposed cooperative particle swarm optimizer with improved elimination mechanism (CPSO-IEM) makes two main changes in order to extract useful elements from elimination mechanism (EM) effectively. These changes not only increase the diversity of solution vectors which are stored in EM, but also improve the performance of cooperative particle swarm optimizer (CPSO) which is treated as a basic operator in CPSO-IEM. Experimental studies on a set of test functions show that CPSO-EM exhibits better performance than several other peer algorithms in solving nonseparable multimodal problems.
Original languageEnglish
Title of host publication2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings
PublisherIEEE
Pages117-124
Number of pages8
ISBN (Electronic)9781479974924
DOIs
Publication statusPublished - 10 Sep 2015
Externally publishedYes
EventIEEE Congress on Evolutionary Computation, CEC 2015 - Sendai, Japan
Duration: 25 May 201528 May 2015

Conference

ConferenceIEEE Congress on Evolutionary Computation, CEC 2015
Country/TerritoryJapan
CitySendai
Period25/05/1528/05/15

ASJC Scopus subject areas

  • Computer Science Applications
  • Computational Mathematics

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