• DocumentCode
    2175087
  • Title

    Artificial Bee Colony Inspired Algorithm Applied to Fusion Research in a Grid Computing Environment

  • Author

    Gomez-Iglesias, Antonio ; Vega-Rodriguez, Miguel A. ; Castejon, Francisco ; Cardenas-Montes, Miguel ; Morales-Ramos, Enrique

  • Author_Institution
    Nat. Fusion Lab., CIEMAE, Madrid, Spain
  • fYear
    2010
  • fDate
    17-19 Feb. 2010
  • Firstpage
    508
  • Lastpage
    512
  • Abstract
    Artificial Bee Colony (ABC) algorithm is an optimisation algorithm based on the intelligent behaviour of honey bee swarm. In this work, ABC algorithm is used to optimise the equilibrium of confined plasma in a nuclear fusion device. Plasma physics research for fusion still presents open problems that need a large computing capacity to be solved. This optimisation process is a long time consuming process so an environment like grid computing has to be used, thus the first step is to adapt and extend the ABC algorithm to use the grid capabilities. In this work we present a modification of the original ABC algorithm, its adaption to a grid computing environment and the application of this algorithm to the equilibrium optimisation process.
  • Keywords
    artificial intelligence; grid computing; nuclear engineering computing; nuclear fusion; optimisation; ABC algorithm; artificial bee colony algorithm; grid computing environment; honey bee swarm; nuclear fusion research; optimisation algorithm; plasma physics research; Computer interfaces; Distributed computing; Fusion reactors; Grid computing; Helium; Particle swarm optimization; Physics computing; Plasma confinement; Plasma devices; Resource management; Artificial Bee Colony; Equilibrium; Grid Computing; Nuclear Fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel, Distributed and Network-Based Processing (PDP), 2010 18th Euromicro International Conference on
  • Conference_Location
    Pisa
  • ISSN
    1066-6192
  • Print_ISBN
    978-1-4244-5672-7
  • Electronic_ISBN
    1066-6192
  • Type

    conf

  • DOI
    10.1109/PDP.2010.50
  • Filename
    5452468