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
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