• DocumentCode
    2217148
  • Title

    Quasi-parallel genetic algorithms with different communication topologies

  • Author

    Wang, Guan ; Wu, Degang ; Szeto, K.Y.

  • Author_Institution
    Dept. of Phys., Hong Kong Univ. of Sci. & Technol., Hong Kong, China
  • fYear
    2011
  • fDate
    5-8 June 2011
  • Firstpage
    721
  • Lastpage
    727
  • Abstract
    Systematic testing of parallel genetic algorithm defined on simple topologies such as ring, band, and fully connect graph are made with two benchmark problems, the 0-1 Knapsack Problem and the Weierstrass function. With fixed communication rule between sub-populations, our numerical results indicate that the band configuration is superior to other topologies tested. A heuristic understanding in terms of the compromise between exploitation and exploration in the solution space is suggested.
  • Keywords
    genetic algorithms; graph theory; knapsack problems; parallel algorithms; Knapsack Problem; Weierstrass function; band configuration; communication topologies; quasiparallel genetic algorithms; Biological cells; Exchange rates; Genetic algorithms; Network topology; Parallel processing; Scalability; Topology; Knapsack Problem; Optimization; Parallel Genetic Algorithms; Topology; Weierstrass Function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2011 IEEE Congress on
  • Conference_Location
    New Orleans, LA
  • ISSN
    Pending
  • Print_ISBN
    978-1-4244-7834-7
  • Type

    conf

  • DOI
    10.1109/CEC.2011.5949690
  • Filename
    5949690