• DocumentCode
    1596225
  • Title

    Path Planning Based on Double-Layer Genetic Algorithm

  • Author

    Lu, Jin ; Yang, Dongyong

  • Author_Institution
    Zhejiang Univ. of Technol., Hangzhou
  • Volume
    4
  • fYear
    2007
  • Firstpage
    357
  • Lastpage
    361
  • Abstract
    It is a more difficult problem to plan path in environment which with both static obstacles and dynamic obstacles. Double-layer genetic algorithm mechanism is brought up in this paper. It introduces the method which deals with static obstacles avoidance and dynamic avoidance respectively. Optimized operator and adaptive technology are designed to speed up creating optimized path. The result of experimentation is show that multifactor could be taken into account synthetically and the best path could be convergent by this way.
  • Keywords
    collision avoidance; genetic algorithms; mathematical operators; mobile robots; adaptive technology; double-layer genetic algorithm; dynamic obstacles avoidance; optimized operator; path planning; robot; static obstacles avoidance; Convergence; Costs; Design optimization; Educational institutions; Encoding; Genetic algorithms; Genetic mutations; Path planning; Robots; Security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2007. ICNC 2007. Third International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2875-5
  • Type

    conf

  • DOI
    10.1109/ICNC.2007.546
  • Filename
    4344699