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Titlebook: Integration of AI and OR Techniques in Constraint Programming; 12th International C Laurent Michel Conference proceedings 2015 Springer Int

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发表于 2025-3-21 19:27:29 | 显示全部楼层 |阅读模式
书目名称Integration of AI and OR Techniques in Constraint Programming
副标题12th International C
编辑Laurent Michel
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Integration of AI and OR Techniques in Constraint Programming; 12th International C Laurent Michel Conference proceedings 2015 Springer Int
描述This book constitutes the proceedings of the 12th International Conference on the Integration of Artificial Intelligence (AI) and Operations Research (OR) Techniques in Constraint Programming, CPAIOR 2015, held in Barcelona, Spain, in May 2015. The 29 papers presented together with 8 short papers in this volume were carefully reviewed and selected from 90 submissions. The purpose of the conference series is to bring together researchers in the fields of Constraint Programming, Artificial Intelligence and Operations Research to explore ways of solving hard and large scale combinatorial optimization problems that emerge in various industrial domains. Pooling the skills and strengths of this diverse group of researchers has proved extremely effective and valuable during the past decade leading to improvements and cross-fertilization between the three fields as well as breakthrough for actual applications.
出版日期Conference proceedings 2015
关键词algorithms; artificial intelligence; combinatorial optimization; comparison of models; constraint and lo
版次1
doihttps://doi.org/10.1007/978-3-319-18008-3
isbn_softcover978-3-319-18007-6
isbn_ebook978-3-319-18008-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2015
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Conference proceedings 2015tion problems that emerge in various industrial domains. Pooling the skills and strengths of this diverse group of researchers has proved extremely effective and valuable during the past decade leading to improvements and cross-fertilization between the three fields as well as breakthrough for actual applications.
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Embedding Decision Trees and Random Forests in Constraint Programming,m, which is then fed to an . constraint. We finally show how to embed in CP a Random Forest, a powerful type of ensemble classifier based on DTs. The proposed methods are compared in an experimental evaluation, highlighting their strengths and their weaknesses.
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Scheduling with Fixed Maintenance, Shared Resources and Nonlinear Feedrate Constraints: A Mine PlanWe provide a repair heuristic based on an outer-approximation, and empirically demonstrate its effectiveness for solving the real-world instances of operational mine planning obtained from our industry partner.
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A Time-Dependent No-Overlap Constraint: Application to Urban Delivery Problems,he problem. We then present a new global constraint (an extension of no-overlap) that integrates time-dependent transition times and show that this new constraint outperforms the classical CP approach.
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A Benders Approach to the Minimum Chordal Completion Problem,thm is substantial. The results also indicate that the value of the solutions obtained by a state-of-the-art heuristic can be in some cases significantly far away from the previously unknown optimal solutions obtained via the Benders approach.
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