• DocumentCode
    530469
  • Title

    Path planning method based on hierarchical hybrid algorithm

  • Author

    Ma, Yong-Jie ; Hou, Wen-Jing

  • Author_Institution
    Coll. of Phys. & Electron. Eng., Northwest Normal Univ., NWNU, Lanzhou, China
  • Volume
    1
  • fYear
    2010
  • fDate
    24-26 Aug. 2010
  • Firstpage
    74
  • Lastpage
    77
  • Abstract
    A path planning method based on hierarchical hybrid algorithm was proposed, which is aimed at the path planning features in urban road traffic. The method by analyzing and transforming the traffic restriction combines the ant colony algorithm and genetic algorithm. The ant colony algorithm employed at the bottom calculates simultaneously in a few of subnets for the local optimization, and the genetic algorithm is used in the top for the global optimization, which makes the algorithm converged to the global optimization faster. The simulation results show that this algorithm not only has a strong effect of practical applications, but substantially reduces the number of optimization calculations and improves the performance of the algorithm.
  • Keywords
    genetic algorithms; path planning; road traffic; ant colony algorithm; genetic algorithm; global optimization; hierarchical hybrid algorithm; local optimization; path planning method; urban road traffic; Analytical models; Computational modeling; Gallium nitride; Genetics; ant colony algorithm; genetic algorithm; hierarchical hybrid algorithm; path planning; traffic restriction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-7957-3
  • Type

    conf

  • DOI
    10.1109/CMCE.2010.5609632
  • Filename
    5609632