• DocumentCode
    532939
  • Title

    Dynamic target assignment base on ameliorated Genetic Algorithm

  • Author

    Xue-Yuan, Fan ; Qing-Hua, Xing ; Feng, Tian

  • Author_Institution
    Missile Inst., Air Force Eng. Univ., Sanyuan, China
  • Volume
    15
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    The thesis considers the reserved fire units and builds the dynamic target assignment model on the basis of classical static target assignment method. Then it gives a kind of ameliorated Genetic Algorithm considering the invalid gene and half-blooded selection operator. Using MATLAB to simulate the model and comparing it with the static target assignment method, it´s validated that the dynamic target assignment model is feasible and the ameliorated algorithm is effective and advantage.
  • Keywords
    genetic algorithms; military systems; target tracking; weapons; MATLAB; ameliorated genetic algorithm; classical static target assignment method; dynamic target assignment model; half-blooded selection operator; reserved fire units; Facsimile; Fires; Gallium; Ameliorated Genetic Algorithm; Dynamic Target Assignment; MATLAB Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5622563
  • Filename
    5622563