The Analyze of Stagnation Phenomenon and Its' Root Causes in Particle Swarm Optimization

Hao Chun Lu, Hsuan Yu Tseng

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

1 Scopus citations

Abstract

Evolutionary algorithms (EA) are part of artificial intelligence technology, and EA always suffers from the problem of particle stagnation. Most of the researches on particle stagnation focused on particle stagnation and searched in incorrect regions. However, by observes the particle moving trajectory, the author found that the particle is not only stagnation in a point but also wandering in a region. Therefore, this study analyzing the particle behaviors and break down the stagnating phenomenon to reinforce the understanding of stagnation problems currently. This study summarizes the phenomenon of particle stagnation and detailed discuss the root causes to reinforce the lack of understanding in particle stagnation currently. Finally, the author proposes corresponding strategies for different cases for the related researches in the future to handling the stagnation problem more comprehensively.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728173993
DOIs
StatePublished - 28 Sep 2020
Event7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020 - Taoyuan, Taiwan
Duration: 28 Sep 202030 Sep 2020

Publication series

Name2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020

Conference

Conference7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020
Country/TerritoryTaiwan
CityTaoyuan
Period28/09/2030/09/20

Keywords

  • Particle attraction neutralize
  • Particle stagnation
  • Particle wandering
  • Premature convergence
  • Strategy of exploration and exploitation

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