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Titlebook: Recent Advances in Constraints; 14th Annual ERCIM In Javier Larrosa,Barry O’Sullivan Conference proceedings 2011 Springer Berlin Heidelberg

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发表于 2025-3-21 19:14:00 | 显示全部楼层 |阅读模式
书目名称Recent Advances in Constraints
副标题14th Annual ERCIM In
编辑Javier Larrosa,Barry O’Sullivan
视频video
概述High quality selected papers.Unique visibility.State of the art research
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Recent Advances in Constraints; 14th Annual ERCIM In Javier Larrosa,Barry O’Sullivan Conference proceedings 2011 Springer Berlin Heidelberg
描述This book constitutes the thoroughly refereed post-proceedings of the 14th Annual ERCIM International Workshop on Constraint Solving and Constraint Logic Programming, CSCLP 2009, held in Barcelona, Spain, in June 2009. The 9 revised full papers presented were carefully reviewed and selected for inclusion in this post-proceedings. The papers in this volume present original research results and applications of constraint solving and constraint logic programming in several domains. Among the issues addressed are solving argumentation frameworks, software consistency, modeling languages, static design routing, dynamic constraint satisfaction, and constraint-based modeling.
出版日期Conference proceedings 2011
关键词CSP; MAC-DBT; computational logic; constraint networks; constraint satisfaction problems; constraint-base
版次1
doihttps://doi.org/10.1007/978-3-642-19486-3
isbn_softcover978-3-642-19485-6
isbn_ebook978-3-642-19486-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Berlin Heidelberg 2011
The information of publication is updating

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https://doi.org/10.1007/978-3-642-19486-3CSP; MAC-DBT; computational logic; constraint networks; constraint satisfaction problems; constraint-base
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978-3-642-19485-6Springer Berlin Heidelberg 2011
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Recent Advances in Constraints978-3-642-19486-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Dynamic Constraint Satisfaction Problems: Relations among Search Strategies, Solution Sets and Algoprobing with solution guidance”, which improves average performance (as well as solution stability). Finally, we present an analysis of the nearest solution in the perturbed problem to the solution found for the original (base) problem. These results show why solution repair methods do poorly when p
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MAC-DBT Revisited,orms equal or less computation at each step than .. An empirical result which presents the advantage of the combined version on . is also presented. Third, following the study of [Bak94], we present a version of . and . which does not preserve assignments which were jumped over. It uses the . mechan
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Stefano Bistarelli,Daniele Pirolandi,Francesco Santini
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