Particle Swarm Optimisation with Spatial Particle Extension

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearch

  • Thiemo Krink, Denmark
  • Jakob Svaneborg Vesterstrøm, Denmark
  • Jacques Riget, DAIMI, Denmark
  • Dan B. Fogel, Denmark
  • Xi Yao, Xian Jiaotong University, China
  • Grant Greenwood, University of Adelaide, Australia
  • Hitoshi Iba, IBA laboratory, The University of Tokyo, Japan
  • Paul Marrow, The Pervasive ICT Research Centre, United Kingdom
  • Mark Shackleton, Intelligent Systems Laboratory, BTexact, United Kingdom
  • Department of Computer Science
In this paper, we introduce spatial extension to particles in the PSO model in order to overcome premature convergence in iterative optimisation. The standard PSO and the new model (SEPSO) are compared w.r.t. performance on well-studied benchmark problems. We show that the SEPSO indeed managed to keep diversity in the search space and yielded superior results.
Original languageEnglish
Title of host publicationProceedings of the Evolutionary Computation on 2002. CEC '02. : Proceedings of the 2002 Congress
Number of pages6
Publication year2002
ISBN (print)0-7803-7282-4
Publication statusPublished - 2002
EventCongress evolutionary Computation on 2002. CEC '02. - Honolulu, Hawaii, United States
Duration: 12 May 200217 May 2002
Conference number: 4


ConferenceCongress evolutionary Computation on 2002. CEC '02.
LandUnited States
ByHonolulu, Hawaii

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