• DocumentCode
    3068078
  • Title

    The N-queens problem and genetic algorithms

  • Author

    Homaifar, Abdollah ; Turner, Jessica ; Ali, Samia

  • Author_Institution
    Dept. of Electr. Eng., North Carolina A&T State Univ., Greensboro, NC, USA
  • fYear
    1992
  • fDate
    12-15 Apr 1992
  • Firstpage
    262
  • Abstract
    The authors determined how well the operators of genetic algorithms handled very difficult combinatorial and constraint satisfaction problems. The N-queens problem is a complex combinatorial problem. Genetic algorithms are efficient and robust search algorithms that can solve the N-queens problem. To derive a problem, the genetic algorithm treats the problem as an ordering or sequencing problem and blindly traverses the search space to satisfy the large number of constraints posed by the inherent complexity of the problem. Results are presented for N⩽200
  • Keywords
    artificial intelligence; combinatorial mathematics; computational complexity; genetic algorithms; search problems; N-queens problem; combinatorial problem; constraint satisfaction problems; genetic algorithms; ordering problem; problem complexity; search algorithms; search space traversal; sequencing problem; Artificial intelligence; Benchmark testing; Constraint optimization; Genetic algorithms; Laboratories; Machine intelligence; Robustness; Sorting; Traffic control; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Southeastcon '92, Proceedings., IEEE
  • Conference_Location
    Birmingham, AL
  • Print_ISBN
    0-7803-0494-2
  • Type

    conf

  • DOI
    10.1109/SECON.1992.202348
  • Filename
    202348