• DocumentCode
    3448092
  • Title

    The Analysis and Research of Parallel Genetic Algorithm

  • Author

    Xue Shengjun ; Guo Shaoyong ; Bai Dongling

  • Author_Institution
    Comput. & Software Inst., Nanjing Univ. of Inf. Sci. & Technol., Nanjing
  • fYear
    2008
  • fDate
    12-14 Oct. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    With the application of the genetic algorithm (GA) deeply developed, the research of parallel genetic algorithm (PGA) and its realization become very important. Because of PGA inner parallel mechanism, its parallel process becomes a very naturally resolvable method. In this paper, four kinds of parallel models of parallel genetic algorithms, such as master- slave model, coarse-grained model, fine-grained model and mixed model, are simply generalized and evaluated. For every model, its characteristics are displayed. As for the existing problem to each model, the concerning parameters are illustrated in order to improve them. Then some main evaluation models of parallel genetic algorithms are presented. At the end, it is shown that parallel genetic algorithms should go on further study in the future.
  • Keywords
    genetic algorithms; parallel algorithms; coarse-grained model; fine-grained model; master-slave model; mixed model; parallel genetic algorithm; parallel process; Algorithm design and analysis; Application software; Concurrent computing; Electronics packaging; Genetic algorithms; Information analysis; Information science; Optimized production technology; Parallel processing; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-2107-7
  • Electronic_ISBN
    978-1-4244-2108-4
  • Type

    conf

  • DOI
    10.1109/WiCom.2008.1275
  • Filename
    4679183