• DocumentCode
    2326213
  • Title

    Solving n-Queen problem using global parallel genetic algorithm

  • Author

    Bozikovic, Marko ; Golub, Marin ; Budin, Leo

  • Author_Institution
    Fac. of Electr. Eng. & Comput., Zagreb Univ., Croatia
  • Volume
    2
  • fYear
    2003
  • fDate
    22-24 Sept. 2003
  • Firstpage
    104
  • Abstract
    This paper shows a way in which genetic algorithms can be used to solve the n-Queen problem. Custom chromosome representation, evaluation function and genetic operators are presented. A global parallel genetic algorithm is also demonstrated as a possible way to increase GA speed. Results are shown for several large values of n and several conclusions are drawn about solving NP problems with genetic algorithms.
  • Keywords
    combinatorial mathematics; computational complexity; genetic algorithms; parallel algorithms; chromosome representation; combinatorial problem; deterministic method; evaluation function; genetic algorithm speed; genetic operator; global parallel genetic algorithm; heuristic method; multiprocessor system; n-Queen problem; thread context switching; Biological cells; Concurrent computing; Counting circuits; Genetic algorithms; Genetic engineering; Polynomials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    EUROCON 2003. Computer as a Tool. The IEEE Region 8
  • Print_ISBN
    0-7803-7763-X
  • Type

    conf

  • DOI
    10.1109/EURCON.2003.1248159
  • Filename
    1248159