Hybridization of Estimation of Distribution Algorithms with a Repair Method for Solving Constraint Satisfaction Problems
Hybridization of Estimation of Distribution Algorithms with a Repair Method for Solving Constraint Satisfaction Problems
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DOI：
10.1007/3-540-45105-6_110
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发表时间：
2003-07
期刊：
影响因子：
--
通讯作者：
H. Handa
中科院分区：
文献类型：
--
作者：
H. Handa
Estimation of Distribution Algorithms (EDAs) are new promising methods in the field of genetic and evolutionary algorithms. In the case of conventional Genetic and Evolutionary Algorithm studies to apply Constraint Satisfaction Problems (CSPs), it is well-known that the incorporation of the domain knowledge in the CSPs is quite effective. In this paper, we propose a hybridization method (memetic algorithm) of Estimation of Distribution Algorithms with a repair method. Experimental results on general CSPs tell us the effectiveness of the proposed method.
