• DocumentCode
    1563866
  • Title

    Multi mobile robot path planning based on genetic algorithm

  • Author

    Liu, Shuhua ; Tian, Yantao ; Liu, Jinfang

  • Author_Institution
    Coll. of Commun. Eng., Jilin Univ., Changchun, China
  • Volume
    5
  • fYear
    2004
  • Firstpage
    4706
  • Abstract
    Genetic Algorithm has implicit parallelism and global optimization, however its computation speed constrains its on-line application. This paper attempts to apply improved genetic algorithm to multi mobile robot path planning. By using based-knowledge genetic operators, the performance of genetic algorithm is improved greatly. Simulation results showed that the improved genetic algorithm can satisfy real-time demand. In the future, it is used on-line to replan the multi mobile robot path.
  • Keywords
    digital simulation; genetic algorithms; mobile robots; multi-robot systems; path planning; based knowledge genetic operator; digital simulation; genetic algorithm; global optimization; multiple mobile robot; path planning; Application software; Genetic algorithms; Mobile communication; Mobile robots; Orbital robotics; Parallel processing; Path planning; Robot sensing systems; Signal processing algorithms; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
  • Print_ISBN
    0-7803-8273-0
  • Type

    conf

  • DOI
    10.1109/WCICA.2004.1342412
  • Filename
    1342412
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1563866