• DocumentCode
    3267348
  • Title

    An overview of a symbiotic coalition: evolutionary algorithms and distributed systems

  • Author

    Esquivel, S. ; Leguizamon, G. ; Ochoa, C. ; Gallard, R.

  • Author_Institution
    Grupo de Interes en Sistemas de Comput., Univ. Nacional de San Luis, Argentina
  • fYear
    35765
  • fDate
    8-10 Dec1997
  • Firstpage
    550
  • Lastpage
    556
  • Abstract
    Evolutionary algorithms (EAs) and distributed systems (DSs) can mutually take profit from their inherent properties. EAs can offer an efficient method to solve satisfactorily hard DSs problems by providing a number of feasible and quasi-optimal solutions. DSs are flexible enough to supply a suitable support for high performance EA implementations. This paper shows some insights for two applications of EAs solving distinct DSs problems and an implementation to support parallel processing of EAs in a distributed environment
  • Keywords
    distributed algorithms; genetic algorithms; problem solving; distributed environment; distributed systems; evolutionary algorithms; high performance implementations; parallel processing; problem solving; quasi-optimal solutions; Application software; Availability; Computer network management; Costs; Decision support systems; Distributed computing; Evolutionary computation; Parallel processing; Symbiosis; Workstations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Systems, 1997. IIS '97. Proceedings
  • Conference_Location
    Grand Bahama Island
  • Print_ISBN
    0-8186-8218-3
  • Type

    conf

  • DOI
    10.1109/IIS.1997.645388
  • Filename
    645388
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3267348