Title: A New Optimization Approach-Chaos Genetic Algorithm
Abstract: By the full use of the ergodic property of chaos movement, a Chaos Genetic Algorithm(CGA) is proposed in this paper. The basic principle of CGA is that the small disturbance is added to child generation group by using the chaos variable and the disturbance extent is adjusted little by little as the search is going on. The computation results indicate that the CGA has good performance and significantly improves the computational efficiency in optimization.
Publication Year: 2001
Publication Date: 2001-01-01
Language: en
Type: article
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Cited By Count: 20
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