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
Link To Document :
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