• DocumentCode
    2227493
  • Title

    Application of Hybrid ACA to Solve Weapon-target Assignment Problem

  • Author

    Qiyi, Zhang ; Li, Guo

  • Author_Institution
    Transp. Command Dept., Automobile Manage. Inst. of PLA, Bengbu, China
  • Volume
    3
  • fYear
    2010
  • fDate
    26-28 Nov. 2010
  • Firstpage
    539
  • Lastpage
    542
  • Abstract
    Weapon-target assignment problem (WTA) was described and its mathematic model was established. Ant colony algorithm (ACA) was introduced briefly, aiming at its defects, the strategy to select the next node was improved. Crossover and mutation in GAs were introduced into ACA, and the search space was opened up. A novel and equivalence method was proposed for WTA, and the steps to realize the algorithm were described in details. The simulation in MATLAB program verified the validity, efficiency and simplicity to operate.
  • Keywords
    command and control systems; control engineering computing; genetic algorithms; weapons; MATLAB program; WTA; ant colony algorithm; hybrid ACA; mathematic model; search space; weapon target assignment problem; WTA; crossover; mproved ACA; mutation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management, Innovation Management and Industrial Engineering (ICIII), 2010 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-8829-2
  • Type

    conf

  • DOI
    10.1109/ICIII.2010.450
  • Filename
    5694795
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2227493