• DocumentCode
    2276791
  • Title

    Bio-inspired solution to Economic Dispatch problem using distributed computing

  • Author

    Marzi, Arash ; Marzi, Hosein ; Marzi, Elham

  • Author_Institution
    Dr. John Hugh Gillis Regional High Sch., Antigonish, NS, Canada
  • fYear
    2010
  • fDate
    25-27 Aug. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The aim of this paper is to present a model for solving multi-objective optimization problems with high dimensionality using distributed computing. It demonstrates feasibility of the model by applying Bees Algorithm to solve Economic Dispatch problem using ACEnet Grid resources.
  • Keywords
    distributed processing; optimisation; power engineering computing; power generation dispatch; power generation economics; ACEnet Grid resources; bees algorithm; bioinspired solution; distributed computing; economic dispatch problem; multiobjective optimization problem; Biological system modeling; Distributed computing; Fuels; Generators; Optimization; Program processors; Propagation losses; Bees Algorithm; Distributed Computing; Optimization; Parallel Programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Power and Energy Conference (EPEC), 2010 IEEE
  • Conference_Location
    Halifax, NS
  • Print_ISBN
    978-1-4244-8186-6
  • Type

    conf

  • DOI
    10.1109/EPEC.2010.5697235
  • Filename
    5697235