HATCH 发表于 2025-3-26 23:06:29

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OREX 发表于 2025-3-27 04:45:22

Basic Concepts,ally, the complexity of some multiobjective optimization problems (MOPs) (e.g., very large search spaces, uncertainty, noise, disjoint Pareto curves, etc.) may prevent use (or application) of traditional OR MOPsolution techniques.

一个姐姐 发表于 2025-3-27 07:45:55

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衰老 发表于 2025-3-27 09:42:51

Alternative Metaheuristics,roblems (e.g., the quadratic assignment problem) are known to be .-complete, they present real challenges to researchers. Additionally, many real-world problems (e.g., scheduling) require efficient approaches that can at least approximate . and . in a reasonable amount of time.

Respond 发表于 2025-3-27 14:13:36

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HARD 发表于 2025-3-27 21:05:06

Carlos A. Coello Coello,Gary B. Lamont,David A. VaDesigned for courses on Evolutionary Multi-objective Optimization and Evolutionary Algorithms.2nd Edition is completely updated and presents the latest research.Provides a complete set of teaching tut

粘土 发表于 2025-3-27 22:01:35

Genetic and Evolutionary Computationhttp://image.papertrans.cn/e/image/317814.jpg

Reclaim 发表于 2025-3-28 03:54:46

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hardheaded 发表于 2025-3-28 07:07:18

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Obsequious 发表于 2025-3-28 12:28:13

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查看完整版本: Titlebook: Evolutionary Algorithms for Solving Multi-Objective Problems; Carlos A. Coello Coello,Gary B. Lamont,David A. Va Textbook 2007Latest editi