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Titlebook: Evolutionary Computation in Combinatorial Optimization; 23rd European Confer Leslie Pérez Cáceres,Thomas Stützle Conference proceedings 202

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31#
發(fā)表于 2025-3-26 23:20:45 | 只看該作者
32#
發(fā)表于 2025-3-27 04:37:51 | 只看該作者
33#
發(fā)表于 2025-3-27 05:19:30 | 只看該作者
Methodological Approach of EurEnDel,ratory landscape analysis is among the most commonly investigated techniques. However, in contrast with other classical optimization problems, in AutoML defining the landscape may be as tough as characterizing it. This is because the concept of solution neighborhood is not clear, as the spaces have
34#
發(fā)表于 2025-3-27 10:00:44 | 只看該作者
35#
發(fā)表于 2025-3-27 14:14:58 | 只看該作者
European Economic Community Migrations on the fly during the search. The impacts of different operator policies, including proportional bias, one-armed bandit, and neural network, are investigated. Experiments on well-known benchmarks of the Weighted Vertex Coloring Problem are conducted to highlight the advantages and limitations of each dynamic selection strategy.
36#
發(fā)表于 2025-3-27 18:26:22 | 只看該作者
37#
發(fā)表于 2025-3-28 00:27:19 | 只看該作者
38#
發(fā)表于 2025-3-28 05:05:42 | 只看該作者
,Application of?Adapt-CMSA to?the?Two-Echelon Electric Vehicle Routing Problem with?Simultaneous Picf CPLEX, our algorithm is compared to probabilistic versions of two well-known constructive heuristics. The numerical results show that our algorithm outperforms CPLEX in the context of rather small problem instances. Moreover, it is shown to outperform the heuristic algorithms when larger problem i
39#
發(fā)表于 2025-3-28 08:11:42 | 只看該作者
Real-World Vehicle Routing Using Adaptive Large Neighborhood Search,do in OR-Tools?[.], where we achieve significant cost savings, faster runtime, and memory savings by order of magnitude. Performance on large-scale real-world instances with more than 300 vehicles and 1,200 pickup and delivery requests is also presented, achieving less than an hour runtimes.
40#
發(fā)表于 2025-3-28 10:49:41 | 只看該作者
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