为现场 发表于 2025-4-1 02:50:02

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招募 发表于 2025-4-1 09:54:32

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Adenoma 发表于 2025-4-1 12:19:38

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条街道往前推 发表于 2025-4-1 15:28:51

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Albumin 发表于 2025-4-1 19:56:26

Dionysis Anemogiannis,Angelos Theocharis new approach, the Combative Accretion Model (CAM), achieves markedly better approximations than NSGA across a range of well-recognised test functions. Moreover, CAM is more efficient than NSGAII with respect to the number of comparisons (by an order of magnitude), while achieving comparable, and generally preferable, fronts.

Debate 发表于 2025-4-2 01:51:46

https://doi.org/10.1007/978-3-322-97598-0sentation and performance metrics on three prominent benchmark functions, DAES is found to outperform three state-of-the-art multiobjective evolutionary algorithms to some extent in terms of finding a near-optimal, well-extended and uniformly diversified Pareto optimal front.
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查看完整版本: Titlebook: Evolutionary Multi-Criterion Optimization; Third International Carlos A. Coello Coello,Arturo Hernández Aguirre,E Conference proceedings 2