Analysis of the effects of the random weights of particle swarm optimization

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Like other evolutionary optimization algorithms, the particle swarm optimization uses the random parameters/weights to achieve good optimization performance. Since the random parameters play important roles in the optimization procedure, it is necessary to investigate the effects of the random weights on the optimization performance. This paper investigated the effects of the random parameters on the optimization performance based on simulations. The simulation results show that the different choices of random weights have big effects on the optimization performance, especially for high-dimensional optimization problems. For the high-dimensional optimization problems, the optimization performance is better if more components of the random vectors are same with each other.

Original languageEnglish
Title of host publicationProceedings - 2016 3rd International Conference on Advances in Computing, Communication and Engineering, ICACCE 2016
EditorsVishal Kumar, Upasana Gitanjali Singh, S D Sudarsan
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages219-223
Number of pages5
ISBN (Electronic)9781509025763
DOIs
Publication statusPublished - 18 Oct 2017
Event3rd International Conference on Advances in Computing, Communication and Engineering, ICACCE 2016 - Durban, South Africa
Duration: 28 Nov 201629 Nov 2016

Publication series

NameProceedings - 2016 3rd International Conference on Advances in Computing, Communication and Engineering, ICACCE 2016

Conference

Conference3rd International Conference on Advances in Computing, Communication and Engineering, ICACCE 2016
Country/TerritorySouth Africa
CityDurban
Period28/11/1629/11/16

Keywords

  • Particle swarm optimization
  • evolutionary optimization
  • high dimension
  • random parameter

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture

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