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Titlebook: Ant Algorithms; Third International Marco Dorigo,Gianni Caro,Michael Sampels Conference proceedings 20021st edition Springer-Verlag Berlin

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51#
發(fā)表于 2025-3-30 10:09:41 | 只看該作者
52#
發(fā)表于 2025-3-30 14:05:04 | 只看該作者
https://doi.org/10.1007/978-3-663-09857-7core of the algorithm we use an Insertion procedure to construct solutions. We provide results on the learning and runtime behavior of the algorithm as well as a comparison with a custom made heuristic for the problem.
53#
發(fā)表于 2025-3-30 18:20:59 | 只看該作者
https://doi.org/10.1007/978-3-662-25944-3erically exact results are derived using a deterministic model for ACO that is based on the average expected behaviour of the artificial ants. These computations are supplemented by test runs with an ACO algorithm on the same problem instances. It is shown that different scaling of the objective fun
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發(fā)表于 2025-3-30 22:42:51 | 只看該作者
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發(fā)表于 2025-3-31 01:31:07 | 只看該作者
56#
發(fā)表于 2025-3-31 05:14:09 | 只看該作者
,Innere Fl?chentheorie: Lokale Theorie,the use of an iterated Monte Carlo approach for the multi-stage solution of combinatorial optimization problems. . searches for the optimal policy of a multi-stage decision problem to which the original combinatorial problem is reduced. In order to describe . we adopt on the one hand concepts of opt
57#
發(fā)表于 2025-3-31 10:14:49 | 只看該作者
Eine Vorlesung über Differentialgeometrieetically for gross ant robot simpli.cations in unrealistic settings. In this article, we design ant robots for a realistic robot simulation environment. We discuss how large the markers should be that form the trail, how frequently they should be dropped, how large the sensed floor area below the an
58#
發(fā)表于 2025-3-31 16:45:23 | 只看該作者
59#
發(fā)表于 2025-3-31 21:16:19 | 只看該作者
60#
發(fā)表于 2025-3-31 22:20:59 | 只看該作者
Marco Dorigo,Gianni Caro,Michael SampelsIncludes supplementary material:
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