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Titlebook: Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem; 10th International C Carla Gomes,Mein

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發(fā)表于 2025-3-21 18:40:08 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem
副標題10th International C
編輯Carla Gomes,Meinolf Sellmann
視頻videohttp://file.papertrans.cn/469/468819/468819.mp4
概述Up-to-date results.Fast track conference proceedings.State-of-the art report
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem; 10th International C Carla Gomes,Mein
描述This volume is a compilation of the research program of the 10th International Conference on the Integration of Artificial Intelligence (AI) and Operations Research (OR) Techniques in Constraint Programming, CPAIOR 2013, held at Yorktown Heights, NY, USA, in May 2013. This volume contains 20 full papers and 11 short papers that were carefully reviewed and selected from 71 submissions. The papers focus on new techniques or applications in the intersection of constraint programming (CP), artificial intelligence (AI) and operations research (OR).
出版日期Conference proceedings 2013
關鍵詞artificial intelligence; constraint satisfaction problem; dynamic programming; operations research; opti
版次1
doihttps://doi.org/10.1007/978-3-642-38171-3
isbn_softcover978-3-642-38170-6
isbn_ebook978-3-642-38171-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2013
The information of publication is updating

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A Synchronized Sweep Algorithm for the , Constraint, 1 million tasks with 64 resources in one single constraint in SICStus. In filtering mode, on our benchmarks, it yields a speed-up of about .. when compared to its decomposition into . independent . constraints.
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Recent Improvements Using Constraint Integer Programming for Resource Allocation and Scheduling,w that both CIP and MIP approaches are competitive with LBBD in terms of the number of problems solved to proven optimality, though MIP is about three times slower on average. Further, unlike the LBBD and CIP approaches, the MIP model is able to obtain provably high-quality solutions for all problem instances.
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Modeling Robustness in CSPs as Weighted CSPs,stance is estimated by a new concept introduced in this paper: .. Thus, the best solution for the modeled WCSP can be considered as a robust solution for the original CSP according to our assumptions.
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0302-9743 International Conference on the Integration of Artificial Intelligence (AI) and Operations Research (OR) Techniques in Constraint Programming, CPAIOR 2013, held at Yorktown Heights, NY, USA, in May 2013. This volume contains 20 full papers and 11 short papers that were carefully reviewed and select
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