• DocumentCode
    1598139
  • Title

    Effects of interaction ranges in genetic algorithms

  • Author

    Nakayama, Keisuke ; Inoue, Naomi

  • Author_Institution
    Universal Media Res. Center, NICT, Kyoto
  • fYear
    2006
  • Firstpage
    4164
  • Lastpage
    4169
  • Abstract
    We developed a dynamically separating genetic algorithm (DS-GA) using a variable selection range (DS-GAVSR). By comparing our DS-GAVSR with a simple GA, an island model GA, and a DS-GA, we found that selection range mainly affects convergence speed, while crossover range mainly affects long-term performance. We determined that DS-GAVSR performance is high for real-coded problems
  • Keywords
    binary codes; convergence; genetic algorithms; convergence rate; crossover range; dynamic separation; genetic algorithm; real-coded problem; variable selection range; Convergence; Dynamic range; Genetic algorithms; Genetic mutations; Information science; Input variables; Testing; Virtual colonoscopy; dynamic separation; genetic algorithms; interaction range; variable selection range;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE-ICASE, 2006. International Joint Conference
  • Conference_Location
    Busan
  • Print_ISBN
    89-950038-4-7
  • Electronic_ISBN
    89-950038-5-5
  • Type

    conf

  • DOI
    10.1109/SICE.2006.314718
  • Filename
    4108241
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1598139