• DocumentCode
    1668295
  • Title

    Selection of initial solutions for local search in multiobjective genetic local search

  • Author

    Ishibuchi, Hisao ; Yoshida, Tadashi ; Murata, Tadahiko

  • Author_Institution
    Dept. of Ind. Eng., Osaka Prefecture Univ., Japan
  • Volume
    1
  • fYear
    2002
  • Firstpage
    950
  • Lastpage
    955
  • Abstract
    In multiobjective genetic local search (MOGLS) algorithms, the local search is usually applied to all offsprings generated by genetic operations. This paper proposes an idea of selecting only good offsprings as initial solutions for the local search. Simulation results show that the proposed idea significantly improves the search ability of MOGLS algorithms
  • Keywords
    convergence of numerical methods; genetic algorithms; search problems; convergence; evolutionary algorithms; genetic algorithms; multicriterion optimization; multiobjective genetic local search; offspring; Evolutionary computation; Genetics; Industrial engineering; Informatics; Large-scale systems;
  • 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.2002.1007053
  • Filename
    1007053
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1668295