• DocumentCode
    1384133
  • Title

    \\hbox {MAWA}^{\\ast } —A Memory-Bounded Anytime Heuristic-Search Algorithm

  • Author

    Vadlamudi, S.G. ; Aine, S. ; Chakrabarti, P.P.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Indian Inst. of Technol. Kharagpur, Kharagpur, India
  • Volume
    41
  • Issue
    3
  • fYear
    2011
  • fDate
    6/1/2011 12:00:00 AM
  • Firstpage
    725
  • Lastpage
    735
  • Abstract
    This paper presents a heuristic-search algorithm called Memory-bounded Anytime Window A*(MAWA*), which is complete, anytime, and memory bounded. MAWA* uses the window-bounded anytime-search methodology of AWA* as the basic framework and combines it with the memory-bounded A* -like approach to handle restricted memory situations. Simple and efficient versions of MAWA* targeted for tree search have also been presented. Experimental results of the sliding-tile puzzle problem and the traveling-salesman problem show the significant advantages of the proposed algorithm over existing methods.
  • Keywords
    problem solving; travelling salesman problems; tree searching; memory bounded anytime heuristic search algorithm; memory bounded anytime window A; sliding tile puzzle problem; traveling salesman problem; tree search; Algorithm design and analysis; Cybernetics; Data structures; Heuristic algorithms; Memory management; Search problems; Anytime search; heuristic search; limited-memory search; Algorithms; Artificial Intelligence; Computer Simulation; Decision Support Techniques; Models, Theoretical; Pattern Recognition, Automated;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4419
  • Type

    jour

  • DOI
    10.1109/TSMCB.2010.2089619
  • Filename
    5640680