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A. Korff-Petersenand 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 evoluambivalence 发表于 2025-3-24 21:15:46
Oscar Spitta 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 inforNIL 发表于 2025-3-25 02:07:25
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