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An improved genetic algorithm and its application

  • Mingdong Wang*
  • , Xianlin Liu
  • , Jilai Yu
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • Zhengzhou University

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

Abstract

An improved Genetic Algorithm (GA) named Head-and-Tail Alternate Crossover GA is proposed to overcome the inefficiency of conventional single-point crossover GA on the optimizing of multi-parameter system. The head-crossover and tail-crossover is used alternately in the algorithm, which ensure that the optimized probability of every parameter is approximately equal. The parameters of fuzzy governor PSS are optimized using the algorithm and the result indicate that the algorithm is more quickly and precisely than conventional GA.

Original languageEnglish
Title of host publicationProceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages8642-8644
Number of pages3
ISBN (Print)9781424421145
DOIs
StatePublished - 2008
Event7th World Congress on Intelligent Control and Automation, WCICA'08 - Chongqing, China
Duration: 25 Jun 200827 Jun 2008

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)

Conference

Conference7th World Congress on Intelligent Control and Automation, WCICA'08
Country/TerritoryChina
CityChongqing
Period25/06/0827/06/08

Keywords

  • Crossover
  • Fuzzy control
  • Genetic algorithm
  • Power system stabilizer

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