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Titlebook: Recent Advances in Constraints; Joint ERCIM/CoLogNET Krzysztof R. Apt,Fran?ois Fages,Josef Váncza Conference proceedings 2004 Springer-Verl

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書目名稱Recent Advances in Constraints
副標(biāo)題Joint ERCIM/CoLogNET
編輯Krzysztof R. Apt,Fran?ois Fages,Josef Váncza
視頻videohttp://file.papertrans.cn/823/822687/822687.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Recent Advances in Constraints; Joint ERCIM/CoLogNET Krzysztof R. Apt,Fran?ois Fages,Josef Váncza Conference proceedings 2004 Springer-Verl
描述Constraint programming is the fruit of several decades of research carried out in mathematical logic, automated deduction, operations research and arti?cial intelligence. The tools and programming languages arising from this research ?eldhaveenjoyedrealsuccessintheindustrialworldastheycontributetosolving hard combinatorial problems in diverse domains such as production planning, communication networks, robotics and bioinformatics. This volume contains the extended and reviewed versions of a selection of papers presented at the Joint ERCIM/CoLogNET International Workshop on Constraint Solving and Constraint Logic Programming (CSCLP2003), which was held from June 30 to July 2, 2003. The venue chosen for the seventh edition of this annual workshop was the Computer and Automation Research Institute of the Hungarian Academy of Sciences (MTA SZTAKI) in Budapest, Hungary. This institute is one of the 20 members of the Working Group on Constraints of the European Research Consortium for Informatics and Mathematics (ERCIM). For many participants this workshop provided the ?rst opportunity to visit their ERCIM partner in Budapest. CoLogNET is the European-funded network of excellence dedicat
出版日期Conference proceedings 2004
關(guān)鍵詞abstract verification; arithmetic constraints; constraint logic programming; constraint processing; cons
版次1
doihttps://doi.org/10.1007/b96986
isbn_softcover978-3-540-21834-0
isbn_ebook978-3-540-24662-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2004
The information of publication is updating

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Implementing Propagators for Tabular Constraintsscribe filtering algorithms for them. We concentrate on the implementation aspects of these algorithms so the proposed propagators can be naturally integrated into existing constraint satisfaction packages like SICStus Prolog.
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A New Approach to Modeling and Solving Minimal Perturbation Problems of changes in the problem formulation called a minimal perturbation problem. This description focuses on the modification of the solution after a change in the problem specification. We also describe a new branch-and-bound like algorithm for solving such type of problems.
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Constraint Methods for Modal Satisfiabilitys steer the decision procedure and so keep the modal search tree as small as possible. We show experimentally that this constraint modelling gives us a better control over the decision procedure than existing SAT-based models.
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Abstracting Soft Constraints: Some Experimental Results on Fuzzy CSPsis will hopefully make the search for a solution, or for an optimal solution, of the concrete problem, faster..In this paper we review the main concepts and properties of our abstraction framework for soft constraints, and we show some experimental results of its application to the solution of fuzzy constraints.
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