• DocumentCode
    551645
  • Title

    An improved artificial potential field method for solving local minimum problem

  • Author

    Li, Qing ; Wang, Lijun ; Chen, Bo ; Zhou, Zhou

  • Author_Institution
    Sch. of Autom. & Electr. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
  • Volume
    1
  • fYear
    2011
  • fDate
    25-28 July 2011
  • Firstpage
    420
  • Lastpage
    424
  • Abstract
    An improved artificial potential field (APF) method is proposed for solving local minimum problems. An additional force is provided and the virtual local minimum area is developed. The influences of parameters in improved APF are also discussed and the genetic algorithm (GA) is introduced for parameters optimization. Some simulation studies with single obstacle and multiple obstacles have carried out to demonstrate the effectiveness of the proposed algorithms.
  • Keywords
    genetic algorithms; mobile robots; path planning; problem solving; genetic algorithm; improved artificial potential field method; local minimum problem solving; mobile robots; parameter optimization; path planning; virtual local minimum area; Algorithm design and analysis; Force; Genetic algorithms; Mobile robots; Optimization; Path planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-0813-8
  • Type

    conf

  • DOI
    10.1109/ICICIP.2011.6008278
  • Filename
    6008278
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=551645