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Simulated annealing genetic hybrid algorithm and its applications

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3 Author(s)
Huang Taishong ; Inf. Sci. & Eng. Coll., Cental South Univ. of Technol., Changsha, China ; Gui Weihua ; Yang Chunhua

Genetic algorithm (GA) search methods are rooted in evolution mechanisms and the nature of genetics. They have been applied to a wide range of industrial applications but research shows that standard genetic algorithms have some defects such as unsatisfactory local searching ability and premature convergence. The article proposes a genetic algorithm to overcome these shortcomings. The simulated result shows that the hybrid algorithm helps the practical system achieve a better performance

Published in:

Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on  (Volume:1 )

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