• DocumentCode
    1667036
  • Title

    Effect of local search on the performance of cellular multiobjective genetic algorithms for designing fuzzy rule-based classification systems

  • Author

    Murata, Tadahiko ; Nozawa, Hiroyuki ; Tsujimura, Yasuhiro ; Gen, Mitsuo ; Ishibuchi, Hisao

  • Author_Institution
    Kansai Univ., Osaka, Japan
  • Volume
    1
  • fYear
    2002
  • Firstpage
    663
  • Lastpage
    668
  • Abstract
    We show how local search can be combined with cellular multiobjective genetic algorithms for designing fuzzy rule-based classification systems. For achieving a good balance between the genetic search and local search, a local search is applied to only non-dominated solutions in each generation. Simulation results show the effectiveness of our approach
  • Keywords
    fuzzy set theory; genetic algorithms; knowledge based systems; pattern classification; search problems; cellular genetic algorithms; fuzzy rule-based systems; fuzzy set theory; genetic search; local search; multiobjective optimization; pattern classification; Algorithm design and analysis; Biological cells; Computer simulation; Evolutionary computation; Fuzzy systems; Genetic algorithms; Large-scale systems; Pattern classification; Processor scheduling; Scheduling algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-7282-4
  • Type

    conf

  • DOI
    10.1109/CEC.2002.1007005
  • Filename
    1007005