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Titlebook: Local Search for Planning and Scheduling; ECAI 2000 Workshop, Alexander Nareyek Conference proceedings 2001 Springer-Verlag Berlin Heidelb

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發(fā)表于 2025-3-21 18:29:23 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Local Search for Planning and Scheduling
副標(biāo)題ECAI 2000 Workshop,
編輯Alexander Nareyek
視頻videohttp://file.papertrans.cn/588/587708/587708.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Local Search for Planning and Scheduling; ECAI 2000 Workshop,  Alexander Nareyek Conference proceedings 2001 Springer-Verlag Berlin Heidelb
出版日期Conference proceedings 2001
關(guān)鍵詞AI Planning; Evolutionary Algorithms; Local Search; Planning Algorithms; Planning Graphs; Search Algorith
版次1
doihttps://doi.org/10.1007/3-540-45612-0
isbn_softcover978-3-540-42898-5
isbn_ebook978-3-540-45612-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2001
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 20:14:13 | 只看該作者
Incremental Local Search for Planning Problemsn plan, the third stage guarantees the completeness and optimality of the generated solution and the fourth stage, a partial-order planner, completes the process by finding the missing actions of the final solution plan, if any.
板凳
發(fā)表于 2025-3-22 00:33:59 | 只看該作者
地板
發(fā)表于 2025-3-22 06:35:09 | 只看該作者
Empirical Evaluation of Local Search Methods for Adapting Planning Policies in a Stochastic Environmthe heuristic sets and show that the two chosen local search algorithms perform well. We present empirical data that suggests this is due to smoothness properties of the search space for the search algorithms.
5#
發(fā)表于 2025-3-22 10:54:43 | 只看該作者
The GRT Planner: New Resultsnd automatic irrelevant objects elimination, are presented. Finally, the planner has been equipped with a hill-climbing strategy and a closed list of visited states for pruning purposes. Performance results show that GRT exhibits significant improvement over its AIPS-00 competition version.
6#
發(fā)表于 2025-3-22 14:48:11 | 只看該作者
Alexander NareyekIncludes supplementary material:
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發(fā)表于 2025-3-22 17:55:46 | 只看該作者
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發(fā)表于 2025-3-23 00:58:12 | 只看該作者
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 problems, mainly those for planning and scheduling.
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發(fā)表于 2025-3-23 03:23:40 | 只看該作者
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