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Titlebook: Evolutionary Multi-Criterion Optimization; 6th International Co Ricardo H. C. Takahashi,Kalyanmoy Deb,Salvatore Gr Conference proceedings 2

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樓主: retort
61#
發(fā)表于 2025-4-1 03:40:41 | 只看該作者
FIAS Interdisciplinary Science Seriesmance on multi-objective problems with highly correlated objectives. Similar objectives to existing ones are added to two-objective test problems in computational experiments. Experimental results on multi-objective knapsack problems show that the inclusion of similar objectives severely degrades th
62#
發(fā)表于 2025-4-1 08:38:13 | 只看該作者
Mark E. Mattson,Bernard J. Baarsith arbitrarily prescribed PS shapes. The behavior of two popular EMO algorithms namely NSGAII and MOEA/D has also been studied for a sample of the proposed test problems. It is hoped that this paper will promote an integrated investigation of EMO algorithms for their scalability with objectives and
63#
發(fā)表于 2025-4-1 11:41:31 | 只看該作者
Local Strain Models for Variable Loadsf archive sets to store all the solutions generated during an evolutionary algorithm’s run, as it allows the decision maker to freely navigate and inspect previous solutions if needed. The PIE algorithm is demonstrated using a pollution monitoring station problem and shown to be effective in helping
64#
發(fā)表于 2025-4-1 16:54:03 | 只看該作者
65#
發(fā)表于 2025-4-1 19:51:48 | 只看該作者
66#
發(fā)表于 2025-4-2 01:12:59 | 只看該作者
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