• DocumentCode
    3011599
  • Title

    A Survey: Genetic Algorithms and the Fast Evolving World of Parallel Computing

  • Author

    Munawar, Asim ; Wahib, Mohamed ; Munetomo, Masaharu ; Akama, Kiyoshi

  • Author_Institution
    Grad. Sch. of Info. Sci. & Tech., Hokkaido Univ., Sapporo
  • fYear
    2008
  • fDate
    25-27 Sept. 2008
  • Firstpage
    897
  • Lastpage
    902
  • Abstract
    This paper gives a survey about the impact of modern parallel/distributed computing paradigms over parallel genetic algorithms (PGAs). Helping the GA community to feel more comfortable with the evolving parallel paradigms, and marking some areas of research for the high-performance computing (HPC) community is the major inspiration behind this survey. In the modern parallel computing paradigms we have considered only two major areas that have evolved very quickly during the past few years, namely, multicore computing and Grid computing. We discuss the challenges involved, and give potential solutions for these challenges. We also propose a hierarchical PGA suitable for Grid environment with multicore computational resources.
  • Keywords
    genetic algorithms; grid computing; parallel processing; distributed computing; genetic algorithm; grid environment; high-performance computing; parallel computing; Algorithm design and analysis; Clocks; Concurrent computing; Distributed computing; Electronics packaging; Energy consumption; Genetic algorithms; Grid computing; Multicore processing; Parallel processing; Genetic Algorithms; Grid computing; Multicore; Parallel Genetic Algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing and Communications, 2008. HPCC '08. 10th IEEE International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-0-7695-3352-0
  • Type

    conf

  • DOI
    10.1109/HPCC.2008.77
  • Filename
    4637800