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Titlebook: Evolutionary Multi-Criterion Optimization; 8th International Co António Gaspar-Cunha,Carlos Henggeler Antunes,Carl Conference proceedings 2

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樓主: ONSET
31#
發(fā)表于 2025-3-27 00:15:43 | 只看該作者
https://doi.org/10.1007/978-3-662-63730-2ization. The performance of any multiobjective evolutionary algorithm (MOEA) is strongly related to the efficacy of its selection mechanism. The population convergence and diversity are two different but equally important goals that must be ensured by the selection mechanism. Despite the equal impor
32#
發(fā)表于 2025-3-27 02:59:23 | 只看該作者
Ralf Jaumann,Ulrich K?hler,Susanne Piethic programming problems. First, we investigate two scalarizing strategies that iteratively identify a high-quality solution for a sequence of sub-problems. Each sub-problem is based on a static or adaptive definition of weighted-sum aggregation coefficients, and is addressed by means of a state-of-t
33#
發(fā)表于 2025-3-27 07:38:03 | 只看該作者
34#
發(fā)表于 2025-3-27 13:10:09 | 只看該作者
Practical Nursing Principles Afloats that are usually assumed to be given by a decision maker (DM) based on his/her preference. However, setting the reference point needs a priori knowledge that the DM sometimes does not have. In order to obtain favorable solutions without a priori knowledge, “knee points” can be used. Some algorithm
35#
發(fā)表于 2025-3-27 13:43:48 | 只看該作者
36#
發(fā)表于 2025-3-27 21:35:19 | 只看該作者
37#
發(fā)表于 2025-3-27 22:09:57 | 只看該作者
38#
發(fā)表于 2025-3-28 03:38:36 | 只看該作者
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發(fā)表于 2025-3-28 08:46:29 | 只看該作者
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發(fā)表于 2025-3-28 10:54:28 | 只看該作者
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