Fuzzy controller design using group-crossover particle swarm optimization for truck reversing control

Chia Feng Juang*, Yu Cheng Chang, Chia Hung Hsu, I. Fang Chung

*Corresponding author for this work

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

1 Scopus citations

Abstract

This paper proposes a fuzzy controller design using group-crossover particle swarm optimization (GCPSO) algorithm. The GCPSO uses a group-based framework for defining particle neighborhood topology and incorporating crossover operation into particle swarm optimization. The GCPSO dynamically forms different groups for selecting parents in crossover operations, particle updates and replacements. The objective of GCPSO is to improve fuzzy control accuracy. Comparisons with different population-based optimizations on truck reversing control problem demonstrate the performance of GCPSO algorithm.

Original languageEnglish
Title of host publicationFUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings
Pages2664-2667
Number of pages4
DOIs
StatePublished - 2011
Event2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011 - Taipei, Taiwan
Duration: 27 Jun 201130 Jun 2011

Publication series

NameIEEE International Conference on Fuzzy Systems
ISSN (Print)1098-7584

Conference

Conference2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011
Country/TerritoryTaiwan
CityTaipei
Period27/06/1130/06/11

Keywords

  • fuzzy controller
  • genetic algorithms
  • particle swarm optimization

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