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.
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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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Tao, G., Li-shan, K. A new evolutionary algorithm for function optimization. Wuhan Univ. J. Nat. Sci. 4, 409–414 (1999). https://doi.org/10.1007/BF02832273
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DOI: https://doi.org/10.1007/BF02832273