Fuzzy genetic algorithm and applications

James J. Buckley, Yoichi Hayashi

Research output: Contribution to journalArticle

68 Citations (Scopus)


In this paper we introduce fuzzy genetic algorithms to (approximately) solve fuzzy optimization problems. We argue that this technique can produce good approximate solutions by applying it to solve a fuzzy optimization problem. Other applications of fuzzy genetic algorithms to fuzzy optimization, the fuzzy maximum flow problem, fuzzy regression, and tuning a fuzzy controller are also presented.

Original languageEnglish
Pages (from-to)129-136
Number of pages8
JournalFuzzy Sets and Systems
Issue number2
Publication statusPublished - 24 Jan 1994


  • Genetic algorithm
  • fuzzy controller
  • fuzzy linear programming
  • fuzzy maximum flow problem
  • fuzzy optimization
  • fuzzy regression

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