Study on the compression-expansion coefficient in drift particle swarm optimization

Wei Fang, Jun Sun, Xiaojun Wu, Wenbo Xu, Vasile Palade

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

1 Citation (Scopus)

Abstract

This paper introduces a variant of particle swarm optimization algorithm called the drift particle swarm optimization (DPSO), which is inspired by the free electron model in an external electric field at finite temperature. As the compression-expansion coefficient in DPSO is an important parameter which can greatly influence the performance of the algorithm, three types of control strategies are proposed to control this parameter. The performance of these strategies on the DPSO is comprehensively evaluated on eight benchmark functions. From the experimental results and statistical tests, guidelines about selecting the control method for the compression-expansion coefficient are given.

Original languageEnglish
Title of host publication2012 IEEE Congress on Evolutionary Computation, CEC 2012
PublisherIEEE
Number of pages6
ISBN (Print)9781467315098
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 IEEE Congress on Evolutionary Computation, CEC 2012 - Brisbane, QLD, Australia
Duration: 10 Jun 201215 Jun 2012

Conference

Conference2012 IEEE Congress on Evolutionary Computation, CEC 2012
CountryAustralia
CityBrisbane, QLD
Period10/06/1215/06/12

Keywords

  • compression-expansion coefficient
  • drift motion
  • particle swarm optimization
  • thermal motion

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Theoretical Computer Science

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  • Cite this

    Fang, W., Sun, J., Wu, X., Xu, W., & Palade, V. (2012). Study on the compression-expansion coefficient in drift particle swarm optimization. In 2012 IEEE Congress on Evolutionary Computation, CEC 2012 [6256621] IEEE. https://doi.org/10.1109/CEC.2012.6256621