• DocumentCode
    1651297
  • Title

    An evolution strategy for multiobjective optimization

  • Author

    Costa, Lino ; Oliveira, Pedro

  • Author_Institution
    Departamento de Producao e Sistemas, Univ. do Minho, Braga, Portugal
  • Volume
    1
  • fYear
    2002
  • Firstpage
    97
  • Lastpage
    102
  • Abstract
    Almost all approaches to multiobjective optimization are based on genetic algorithms, and implementations based on evolution strategies (ESs) are very rare. In this paper, a new approach to multiobjective optimization, based on ESs, is presented. The comparisons with other algorithms indicate a good performance of the Multiobjective Elitist Evolution Strategy
  • Keywords
    evolutionary computation; Multiobjective Elitist Evolution Strategy; evolution strategies; experiments; genetic algorithms; multiobjective optimization; performance evaluation; Electronic switching systems; Evolutionary computation; Genetic algorithms; Genetic mutations; Size control;
  • 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.2002.1006216
  • Filename
    1006216
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1651297