• DocumentCode
    1595369
  • Title

    Route Planning for Unmanned Aircraft Based on Ant Colony Optimization and Voronoi Diagram

  • Author

    Shudao Zhou ; Jun Wang ; Yongqi Jin

  • Author_Institution
    Inst. of Meteorol., PLA Univ. of Sci. & Tech., Nanjing, China
  • fYear
    2012
  • Firstpage
    732
  • Lastpage
    735
  • Abstract
    The technology based on ant colony optimization and Voronoi diagram was used to achieve the intelligent route planning for unmanned aircraft. First, the Voronoi weighted direction diagram was created by the threat sources distribution and the threat costs. Then the ant colony optimization was used to find out the best route from all the possible routes. Simulation was carried out to find the best route by the Matlab soft, the results showed the UAV route planning based on Voronoi diagram and ant colony optimization was right and effective.
  • Keywords
    aerospace control; ant colony optimisation; autonomous aerial vehicles; computational geometry; mobile robots; UAV route planning; Voronoi weighted direction diagram; ant colony optimization; intelligent route planning; route planning; threat sources distribution; unmanned aircraft; Algorithm design and analysis; Ant colony optimization; Fuels; Planning; Radar tracking; Unmanned aerial vehicles; Ant colony optimization; Route planning of intelligent; Unmanned aircraft; Voronoi diagram;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-1-4577-2120-5
  • Type

    conf

  • DOI
    10.1109/ISdea.2012.568
  • Filename
    6173310