• DocumentCode
    1162572
  • Title

    Fast search algorithms for the n-queens problem

  • Author

    Sosic, R. ; Gu, Jhen-Fong

  • Author_Institution
    Dept. of Comput. Sci., Utah Univ., Salt Lake City, UT
  • Volume
    21
  • Issue
    6
  • fYear
    1991
  • Firstpage
    1572
  • Lastpage
    1576
  • Abstract
    The n-queens problem is to place n queens on an n×n chessboard so that no two queens attack each other. The authors present two new algorithms, called queen search 2 (QS2) and queen search 3 (QS3). QS2 and QS3 are probabilistic local search algorithms, based on a gradient-based heuristic. These algorithms, running in almost linear time, are capable of finding a solution for extremely large n-queens problems. For example, QS3 can find a solution for 500000 queens in approximately 1.5 min
  • Keywords
    probability; search problems; gradient-based heuristic; n-queens problem; probabilistic local search algorithms; queen search 2; queen search 3; Artificial intelligence; Heuristic algorithms; Microcomputers; Optical computing; Routing; Search problems; Testing; Two dimensional displays; Ultraviolet sources; Very large scale integration;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9472
  • Type

    jour

  • DOI
    10.1109/21.135698
  • Filename
    135698