About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
2nd International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems

Research Article

Particle Swarm Optimization Algorithm Based on Divided-interval Chaotic Search

Download1029 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.4108/ICST.BIONETICS2007.2337,
        author={Qiushi Xu and Xiangdong Wang},
        title={Particle Swarm Optimization Algorithm Based on Divided-interval Chaotic Search},
        proceedings={2nd International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems},
        proceedings_a={BIONETICS},
        year={2008},
        month={8},
        keywords={Chaos  divided-interval  particle swarm optimization},
        doi={10.4108/ICST.BIONETICS2007.2337}
    }
    
  • Qiushi Xu
    Xiangdong Wang
    Year: 2008
    Particle Swarm Optimization Algorithm Based on Divided-interval Chaotic Search
    BIONETICS
    ICST
    DOI: 10.4108/ICST.BIONETICS2007.2337
Qiushi Xu1,*, Xiangdong Wang1,*
  • 1: Shenyang University of Technology No.58 South Xinghua Street, Tiexi Dist. Shenyang, 110023, P.R.China
*Contact email: wlss198089@sohu.com, wangxd2007@163.com

Abstract

Though chaotic particle swarm optimization algorithm lets particles search in the whole variable space, the search scale is too large and the high precision of solution is hard to achieve. This paper proposes a particle swarm optimization algorithm based on divide-interval chaotic search, it lets the particles search in the selected interval, reduces the scope of the search space, and makes the solution more approximate to the global optimum. And the comparable experiment shows that the algorithm has preferable results.

Keywords
Chaos divided-interval particle swarm optimization
Published
2008-08-29
Modified
2011-07-10
http://dx.doi.org/10.4108/ICST.BIONETICS2007.2337
Copyright © 2007–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL