A particle swarm optimization method with enhanced global search ability for design optimizations of electromagnetic devices

Siu Lau Ho, Shiyou Yang, Guangzheng Ni, H. C. Wong

Research output: Journal article publicationJournal articleAcademic researchpeer-review

85 Citations (Scopus)


Based on the refinement successes to particle swarm optimization (PSO) methods, which include, namely, the introduction of an age variable, the proposal of new selection strategies to find the best solutions of the particle as well as for its neighbors, the design of a novel formula for velocity updating, the incorporation of an intensification search phase, and so on, an improved PSO method is presented. The experimental results reported indicate that the refined pinpointing search ability and the global search ability of the proposed method are significantly improved when compared to those of conventional PSOs.
Original languageEnglish
Pages (from-to)1107-1110
Number of pages4
JournalIEEE Transactions on Magnetics
Issue number4
Publication statusPublished - 1 Apr 2006


  • Global optimization, metaheuristic algorithm
  • Particle swarm optimization (PSO)
  • Stochastic method

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Physics and Astronomy (miscellaneous)

Cite this