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Some remarks on the deterministic particle swarm optimization algorithm

  • Jinxun Wang*
  • , Qiwen Xu
  • , Qin Li
  • *Corresponding author for this work
  • Guangdong University of Foreign Studies
  • University of Macau

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we give a simple proof for the convergence of the deterministic particle swarm optimization algorithm under the weak chaotic assumption and remark that the weak chaotic assumption does not relax the stagnation assumption in essence. Under the spectral radius assumption, we propose a convergence criterion for the deterministic particle swarm optimization algorithm in terms of the personal best and neighborhood best position of the particle that incorporates the stagnation assumption or the weak chaotic assumption as a special case.

Original languageEnglish
Pages (from-to)1870-1875
Number of pages6
JournalMathematical Methods in the Applied Sciences
Volume41
Issue number5
DOIs
StatePublished - 30 Mar 2018

Keywords

  • convergence
  • deterministic PSO
  • spectral radius

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