• DocumentCode
    2251500
  • Title

    A hybrid route planning algorithm of single aerial vehicle attacking multiple targets

  • Author

    Luo, Quan ; Liu, Zhong ; Qiao, Shi-dong

  • Author_Institution
    Key Lab. of Sci. & Technol. for Nat. Defense of C4ISR Technol., Nat. Univ. of Defense Technol., Changsha, China
  • Volume
    3
  • fYear
    2010
  • fDate
    11-14 July 2010
  • Firstpage
    1532
  • Lastpage
    1537
  • Abstract
    It´s an important tactical operation for single aerial vehicle to attack multiple targets in one flight, and its flight route has great impact on the attacking effect and its own safety. To optimize this flight route, a new hybrid algorithm was presented for the aerial vehicle, that is : firstly, use the Dynamic Programming(DP) to search routes in order to reduce the searching times and improve the efficiency of search; then use the improved Ant Colony algorithm(ACO) to select and order the targets. Simulations shown that it´s more quickly to obtain a reasonable attacking plan with the algorithm presented, which means the algorithm is effective.
  • Keywords
    aircraft; dynamic programming; path planning; target tracking; ant colony algorithm; dynamic programming; hybrid route planning algorithm; multiple target attacking; reasonable attacking plan; single aerial vehicle; Algorithm design and analysis; Cybernetics; Heuristic algorithms; Machine learning; Planning; Turning; Vehicles; Ant colony algorithm(ACO); Dynamic programming(DP); Route planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-6526-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2010.5580823
  • Filename
    5580823