• DocumentCode
    2346881
  • Title

    A Hybrid Method in Informed Search: Fuzzy Simplified Memory-Bounded A* Approach

  • Author

    Neshat, Mehdi

  • Author_Institution
    Dept. of Comput. Eng., Univ. Islamic Azad of Shirvan Branch, Mashhad, Iran
  • fYear
    2010
  • fDate
    26-28 Nov. 2010
  • Firstpage
    105
  • Lastpage
    109
  • Abstract
    In this paper, two methods are explained for robot´s navigation and planning. Applying fuzzy logic and optimized searching SMA*, this compound method causes adaptive behavior in navigation. Also in big environments, it provides coming back with economizing on memory and memorizing the path - from starting point to target. Using fuzzy logic leads to a flexible behavior with least mistake of the navigator robot (target tracker). These two methods are compared and the method FSMA*has proved better results.
  • Keywords
    fuzzy control; graph theory; mobile robots; path planning; search problems; FSMA* method; adaptive behavior; fuzzy logic; fuzzy simplified memory bounded A* approach; informed search; navigator robot; optimized searching SMA*; robot navigation; SMA*; fuzzy; hybrid method; informed search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Communication Networks (CICN), 2010 International Conference on
  • Conference_Location
    Bhopal
  • Print_ISBN
    978-1-4244-8653-3
  • Electronic_ISBN
    978-0-7695-4254-6
  • Type

    conf

  • DOI
    10.1109/CICN.2010.32
  • Filename
    5701946
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2346881