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Titlebook: Evolutionary Computation in Combinatorial Optimization; 20th European Confer Luís Paquete,Christine Zarges Conference proceedings 2020 Spri

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樓主: 小天使
11#
發(fā)表于 2025-3-23 11:14:45 | 只看該作者
Ethno-Aesthetic Synthesis and PerspectiveLONs of highly-constrained spaces, and into the proficiency of search operators on the CSOP. Iterated Local Search and Memetic Search, which are the foundations for the LON algorithms, are found to markedly out-perform a Genetic Algorithm from the literature.
12#
發(fā)表于 2025-3-23 17:53:17 | 只看該作者
13#
發(fā)表于 2025-3-23 20:07:51 | 只看該作者
An Algebraic Approach for the Search Space of Permutations with Repetition,s provided for the Job Shop Scheduling Problem. Experiments have been held on commonly adopted benchmark suites, and they show that the proposed approach obtains competitive results compared to the known optimal objective values.
14#
發(fā)表于 2025-3-23 22:38:36 | 只看該作者
15#
發(fā)表于 2025-3-24 05:02:49 | 只看該作者
Dynamic Compartmental Models for Large Multi-objective Landscapes and Performance Estimation, non-dominated solutions in the population. The new features are tested by studying the population changes on the Adaptive .-Sampling .-Hood while solving 30 instances of a 3 objective, 100 variables MNK-landscape problem. We also discuss the behavior of the auxiliary model and the quality of its hypervolume estimations.
16#
發(fā)表于 2025-3-24 10:31:03 | 只看該作者
17#
發(fā)表于 2025-3-24 10:50:22 | 只看該作者
18#
發(fā)表于 2025-3-24 18:16:47 | 只看該作者
19#
發(fā)表于 2025-3-24 19:14:36 | 只看該作者
20#
發(fā)表于 2025-3-24 23:22:55 | 只看該作者
On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D,nce of the underlying search process. In particular, we show that even a simple random strategy selecting sub-problems at random outperforms existing sophisticated strategies. We also study the sensitivity of such strategies with respect to the ruggedness and the objective space dimension of the target problem.
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