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Titlebook: Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem; 4th International Co Pascal Hentenryc

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书目名称Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem
副标题4th International Co
编辑Pascal Hentenryck,Laurence Wolsey
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 for Combinatorial Optimization Problem; 4th International Co Pascal Hentenryc
描述.This book constitutes the refereed proceedings of the 4th International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2007, held in Brussels, Belgium in May 2007...The 27 revised full papers presented were carefully reviewed and selected from 80 submissions. Methodological and foundational issues from AI, OR, and algorithmics are presented as well as applications to the solution of combinatorial optimization problems in various fields via constraint programming..
出版日期Conference proceedings 2007
关键词algorithm; algorithmics; algorithms; artificial intelligence; combinatorial optimization; optimization; pr
版次1
doihttps://doi.org/10.1007/978-3-540-72397-4
isbn_softcover978-3-540-72396-7
isbn_ebook978-3-540-72397-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2007
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Modeling the Regular Constraint with Integer Programming,algorithm to develop a MIP version of the constraint. We present computational results on an employee timetabling problem, showing that this new modeling approach can significantly decrease computational times in comparison with a classical MIP formulation.
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Hybrid Local Search for Constrained Financial Portfolio Selection Problems,ackled by approximate algorithms. In this work, we present a hybrid technique that combines a local search, as . solver, with a quadratic programming procedure, as . solver. Experimental results show that the approach is very promising and achieves results comparable with, or superior to, the state of the art solvers.
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Necessary Condition for Path Partitioning Constraints, of the reduced graph associated with ., (2) the structure of each strongly connected component of . with respect to dominance relation between nodes, and (3) the way the nodes of two strongly connected components are inter-connected. This necessary condition is next used to deal with a path partitioning constraint.
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A Continuous Multi-resources , Constraint with Positive-Negative Resource Consumption-Production,time. Finally, a task is no more pre-assigned to one resource, but to a task corresponds a set of possible resource assignments. In this context, this article provides an .(. ·(log. + .)) for computing all the cumulated resource profiles where . is the number of resources and . is the total number of trapezoid sub-tasks of all the tasks.
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