• Title of article

    Algorithm for Low Altitude Penetration Aircraft Path Planning with Improved Ant Colony Algorithm

  • Author/Authors

    YE، نويسنده , , Wen and MA، نويسنده , , Deng-wu and FAN، نويسنده , , Hong-da، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2005
  • Pages
    6
  • From page
    304
  • To page
    309
  • Abstract
    The ant colony algorithm is a new class of population basic algorithm. The path planning is realized by the use of ant colony algorithm when the plane executes the low altitude penetration, which provides a new method for the path planning. In the paper the traditional ant colony algorithm is improved, and measures of keeping optimization, adaptively selecting and adaptively adjusting are applied, by which better path at higher convergence speed can be found. Finally the algorithm is implemented with computer simulation and preferable results are obtained.
  • Keywords
    keeping optimization , ant colony algorit hm , adaptively adjusting , low altitude penetration , path planning
  • Journal title
    Chinese Journal of Aeronautics
  • Serial Year
    2005
  • Journal title
    Chinese Journal of Aeronautics
  • Record number

    2264546