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Solving constraint satisfaction problems by using coevolutionary genetic algorithms

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4 Author(s)
Handa, H. ; Dept. of Precision Eng., Kyoto Univ., Japan ; Katai, O. ; Baba, N. ; Sawaragi, T.

In this paper, Coevolutionary Genetic Algorithm for solving Constraint Satisfaction Problems (CSPs) is proposed. It consists of two Genetic Algorithms (GAs): a traditional GA and another GA to search for good schemata in the former GA. These GAs evolve in two levels, i.e., phenotype-level and schema-level, and affect with each other through genetic operations. To search for solutions effectively, we devise new genetic operator by utilizing search mechanism of solution synthesis approach used in CSP community. Computational results on general CSPs confirm the effectiveness of our approach

Published in:

Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on

Date of Conference:

4-9 May 1998