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
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;
Conference_Titel :
Southeastcon '92, Proceedings., IEEE
Conference_Location :
Birmingham, AL
Print_ISBN :
0-7803-0494-2
DOI :
10.1109/SECON.1992.202348