钢盔 发表于 2025-3-23 10:21:50
978-3-540-42898-5Springer-Verlag Berlin Heidelberg 2001移植 发表于 2025-3-23 13:59:31
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https://doi.org/10.1007/3-540-45612-0AI Planning; Evolutionary Algorithms; Local Search; Planning Algorithms; Planning Graphs; Search AlgorithBouquet 发表于 2025-3-24 06:19:02
Meta-heuristics: The State of the Arteering, economics and science in reasonable time horizons. In this paper we give some insight into the state of the art of meta-heuristics. This primarily focuses on the significant progress which general frames within the meta-heuristics field have implied for solving combinatorial optimization pro北极熊 发表于 2025-3-24 10:09:11
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Lagrange Multipliers for Local Search on Planning Graphstasks. The space of the local search is formed by particular subgraphs of a planning graph representing partial plans. The operators for moving from one search state to the next one are graph modification operations corresponding to adding (deleting) actions to (from) a partial plan. GPG can use difcommute 发表于 2025-3-24 14:57:39
Beyond the Plan-Length Criterionare related to these resources and must take this into account in planning their behavior. In the field of artificial intelligence, resource-based action planning systems have recently begun to mushroom. However, these systems still tend to neglect resources. Conventional plan length is the primary同义联想法 发表于 2025-3-24 19:54:56
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