• DocumentCode
    2693242
  • Title

    Cooperative ant colony optimization for multisatellite resource scheduling problem

  • Author

    Zhang, Na ; Feng, Zuren

  • Author_Institution
    Xian Jiaotong Univ., Xian
  • fYear
    2007
  • fDate
    25-28 Sept. 2007
  • Firstpage
    2822
  • Lastpage
    2828
  • Abstract
    Multisatellite resource scheduling problem is complicated and difficult to be solved because of the limited resources available. This paper develops a construction graph model of satellite overpasses, which involves several directed subgraphs. A cooperative ant colony optimization is employed to this model and to construct proper solutions, the ants in the same colony search in different subgraphs and communicate with each other by a cooperative strategy. Experimental results demonstrate that this algorithm is superior to the existing scheduling method with better qualities.
  • Keywords
    artificial intelligence; directed graphs; optimisation; satellite communication; search problems; construction graph model; cooperative ant colony optimization; directed subgraph; multisatellite resource scheduling problem; Ant colony optimization; Force control; Genetic algorithms; Intelligent networks; Iterative algorithms; Iterative methods; Satellite antennas; Satellite ground stations; Scheduling algorithm; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1339-3
  • Electronic_ISBN
    978-1-4244-1340-9
  • Type

    conf

  • DOI
    10.1109/CEC.2007.4424829
  • Filename
    4424829