A new evolutionary algorithm for function optimization |
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Authors: | Guo Tao Kang Li-shan |
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Affiliation: | (1) State Key Laboratory of Software Engineering, Wuhan University, 430072 Wuhan, China |
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Abstract: | A new algorithm based on genetic algorithm(GA) is developed for solving function optimization problems with inequality constraints. This algorithm has been used to a series of standard test problems and exhibited good performance. The computation results show that its generality, precision, robustness, simplicity and performance are all satisfactory. Foundation item: Supported by the National Natural Science Foundation of China (No. 69635030), National 863 High Technology Project of China, the Key Scientific Technology Development Project of Hubei Province. Biography: GUO Tao(1971-), male, Ph D, research interests are in evolutionary computation and network computing. |
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Keywords: | evolutionary algorithm function optimization problem inequality constraints |
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