• DocumentCode
    1736003
  • Title

    Searching algorithms implementation and comparison of Eight-puzzle problem

  • Author

    Shi, Rua

  • Author_Institution
    Coll. of Sci., Xi´´an Technol. Univ., Xi´´an, China
  • Volume
    2
  • fYear
    2011
  • Firstpage
    1203
  • Lastpage
    1206
  • Abstract
    Eight-puzzle Problem is a one of classic difficulty problem in Artificial Intelligence, to solve this problem in most cases are adopted the search algorithm, and Search strategy is one of the main directions in the artificial intelligence research. Using different search strategies in the process of solving problem also may have differences. In this paper, through the analysis of the search solution for the Eight-puzzle Problem, the Breadth-first search algorithm, the Depth-first search algorithm, and A*algorithm, which is one of the heuristic search, are used to implement it. These algorithms are compared to evaluate the superiority between these three search algorithms, and at last drew the analytic conclusion on the purpose of giving the direction to develop and use more efficient search strategies. In general, heuristic search algorithms are more convenient and efficient than blinding algorithms in the states space search.
  • Keywords
    artificial intelligence; state-space methods; tree searching; A*algorithm; analytic conclusion; artificial intelligence research; blinding algorithms; breadth-first search algorithm; depth-first search algorithm; eight-puzzle problem comparison; heuristic search algorithms; search solution; search strategy; searching algorithms implementation; states space search; Algorithm design and analysis; A* Algorithm; Breadth-first Search; Depth-first Search; Eight-puzzle Problem; Heuristic Search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2011 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-1586-0
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2011.6182175
  • Filename
    6182175