• DocumentCode
    2295096
  • Title

    Improved crossover strategy of genetic algorithms and analysis of its performance

  • Author

    Runqiang, Bian ; Zengqiang, Chen ; Zhuzhi, Yuan

  • Author_Institution
    Tianjin Inst. of Technol., China
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    516
  • Abstract
    In this paper, the premature convergence problem of genetic algorithms is analyzed from a point of view of the crossover efficiency, and a new crossover strategy is proposed to make the crossover more efficient. The strategy is effective in preventing incest and overcoming the premature convergence
  • Keywords
    convergence of numerical methods; genetic algorithms; crossover efficiency; genetic algorithms; incest; premature convergence; Algorithm design and analysis; Convergence; Genetic algorithms; Partial response channels; Performance analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
  • Conference_Location
    Hefei
  • Print_ISBN
    0-7803-5995-X
  • Type

    conf

  • DOI
    10.1109/WCICA.2000.860021
  • Filename
    860021
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2295096