• DocumentCode
    2737107
  • Title

    Cooperative task assignment for heterogeneous multi-UAVs based on differential evolution algorithm

  • Author

    Jing, Dai ; Jian, Cheng ; Min, Song

  • Author_Institution
    Telecommun. Eng. Sch., Air Force Eng. Univ., Xi´´an, China
  • Volume
    2
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    163
  • Lastpage
    167
  • Abstract
    This paper deals with the assignment problem of multi heterogeneous uavs´ cooperation when accomplish reconnaissance attack and damage evaluation tasks. We propose a more practical heterogeneous multi-uavs task assignment model and the differences between heterogeneous UAV have been taken into account. In order to solve the model, we present a hierarchical task decoupling method to reduce the difficulty of solving the model and we develop a kind of adaptive differential evolution algorithm based on adaptive factor and population catastrophe to solve it .The simulation results show that the algorithm has fast convergence, optimization capability, and can solve the heterogeneous multi-UAV Cooperative tasks assignment problem effectively.
  • Keywords
    cooperative systems; evolutionary computation; optimisation; remotely operated vehicles; space vehicles; adaptive differential evolution algorithm; adaptive factor; cooperative task assignment; damage evaluation tasks; heterogeneous multiUAV; heterogeneous multiuav task assignment model; hierarchical task decoupling method; multiheterogeneous uav cooperation; optimization capability; population catastrophe; reconnaissance attack; Convergence; Educational institutions; Optimization methods; Reconnaissance; TV; Unmanned aerial vehicles; Cooperative; Differential Evolution; Task assignment; multi-UAVs; population catastrophe;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5358296
  • Filename
    5358296