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Book 2006and evolutionary algorithms (GEAs) have often achieved an enviable success in solving optimization problems in a wide range of disciplines. The goal of this book is to provide effective optimization algorithms for solving a broad class of problems quickly, accurately, and reliably by employing evoluCervical-Spine 发表于 2025-3-22 06:01:18
https://doi.org/10.1007/3-540-31759-7Evolutionary Algorithms; algorithm; algorithms; evolution; evolutionary algorithm; evolutionary computatiOVER 发表于 2025-3-22 10:07:27
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https://doi.org/10.1007/978-3-319-25217-9 GAs. Design of practical GAs for solving real-world problems was the main focus all along. Further, this chapter has also investigated a practical populationsizing model that comes in handy in determining an adequate population size for finding a desired solution without requiring statistical infor礼节 发表于 2025-3-22 22:35:50
Chang Wook AhnRecent advances in evolutionary Algorithms行为 发表于 2025-3-23 04:32:41
Studies in Computational Intelligencehttp://image.papertrans.cn/a/image/148022.jpgHarbor 发表于 2025-3-23 09:01:44
Multiobjective Real-coded Bayesian Optimization Algorithm,978-3-642-97761-9