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Titlebook: Evolutionary Computation in Combinatorial Optimization; 4th European Confere Jens Gottlieb,Günther R. Raidl Conference proceedings 2004 Spr

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樓主: papyrus
21#
發(fā)表于 2025-3-25 04:01:57 | 只看該作者
22#
發(fā)表于 2025-3-25 09:30:24 | 只看該作者
23#
發(fā)表于 2025-3-25 12:13:14 | 只看該作者
Scatter Search and Memetic Approaches to the Error Correcting Code Problemtion will show that these techniques can dramatically outperform previous approaches to this problem. Among other aspects, the influence of the update method, or the use of path relinking is also analyzed on increasingly large problem instances.
24#
發(fā)表于 2025-3-25 17:38:45 | 只看該作者
25#
發(fā)表于 2025-3-25 21:21:07 | 只看該作者
26#
發(fā)表于 2025-3-26 00:52:40 | 只看該作者
Dealing with Solution Diversity in an EA for Multiple Objective Decision Support – A Case Studys paper the concept of .-non-dominance is introduced which is based on indifference thresholds. Experiments dealing with the use of this technique in the framework of an evolutionary approach are reported to provide decision support in the identification and selection of electric load control strategies.
27#
發(fā)表于 2025-3-26 05:31:03 | 只看該作者
A Study into Ant Colony Optimisation, Evolutionary Computation and Constraint Programming on Binary amming. The resampling ratio is used to provide insight into heuristic algorithms performances. Regarding efficiency, we show that if constraint programming is the fastest when instances have a low number of variables, ant colony optimisation becomes faster when increasing the number of variables.
28#
發(fā)表于 2025-3-26 11:23:04 | 只看該作者
29#
發(fā)表于 2025-3-26 13:11:59 | 只看該作者
Improving Vehicle Routing Using a Customer Waiting Time Colonytal distance and a third (CWTsMAX) tries to . customer waiting time. The inclusion of this third colony improves the results very significantly, compared to not using it and to a range of other options. Experiments are conducted on Solomon’s 56 benchmark problems. The results are comparable to those obtained by other state-of-the-art approaches.
30#
發(fā)表于 2025-3-26 19:54:59 | 只看該作者
Landscape Regularity and Random Walks for the Job-Shop Scheduling Problem random walks performed on such a landscape will be biased. We conjecture that such a bias should affect both random walks and local search algorithms, and may provide a partial explanation for the remarkable success of the latter in solving the JSP.
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