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Flirtatious 发表于 2025-3-31 11:54:03

https://doi.org/10.1007/978-3-658-27039-1lems often arise in scientific research and engineering practice. Using a genetic algorithm avoids some of the weaknesses of traditional gradient based analytical search methods including the difficulty in constructing well-defined mathematical models directly from practical inverse problems, and ea
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查看完整版本: Titlebook: Evolutionary Algorithms in Engineering Applications; Dipankar Dasgupta,Zbigniew Michalewicz Book 1997 Springer-Verlag Berlin Heidelberg 19