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Titlebook: Hybrid Optimization; The Ten Years of CPA Pascal van Hentenryck,Michela Milano Book 2011 Springer Science+Business Media, LLC 2011

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书目名称Hybrid Optimization
副标题The Ten Years of CPA
编辑Pascal van Hentenryck,Michela Milano
视频video
概述Includes both well established research results, and directions for future research..Provides several solution methods for common constraint programming problems..Presents both theoretical techniques
丛书名称Springer Optimization and Its Applications
图书封面Titlebook: Hybrid Optimization; The Ten Years of CPA Pascal van Hentenryck,Michela Milano Book 2011 Springer Science+Business Media, LLC 2011
描述.Hybrid Optimization. focuses on the application of artificial intelligence and operations research techniques to constraint programming for solving combinatorial optimization problems. This book covers the most relevant topics investigated in the last ten years by leading experts in the field, and speculates about future directions for research...This book includes contributions by experts from different but related areas of research including constraint programming, decision theory, operations research, SAT, artificial intelligence, as well as others. These diverse perspectives are actively combined and contrasted in order to evaluate their relative advantages...This volume presents techniques for hybrid modeling, integrated solving strategies including global constraints, decomposition techniques, use of relaxations, and search strategies including tree search local search and metaheuristics. Various applications of the techniques presented as well as supplementary computational tools are also discussed..
出版日期Book 2011
版次1
doihttps://doi.org/10.1007/978-1-4419-1644-0
isbn_softcover978-1-4614-2730-8
isbn_ebook978-1-4419-1644-0Series ISSN 1931-6828 Series E-ISSN 1931-6836
issn_series 1931-6828
copyrightSpringer Science+Business Media, LLC 2011
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Learning in Search,rs, on the strategy learning used for automatic search in constraint programming, and on no-good generation in SAT solvers. Several examples are given to illustrate the effectiveness of learning in these areas. Some practical results are also given using the integration of different learning techniques.
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What Is Autonomous Search?,tation stages are used to formalize the solver modifications and adaptations. Using these rules, we then sketch out and classify some well known solvers and try to answer the question: “What is Autonomous Search?”
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Connections and Integration with SAT Solvers: A Survey and a Case Study in Computational Biology,As a case study that illustrates the use of SAT and CP, we consider an application in computational biology: the task to build gene regulatory networks (GRNs). We report on experiments made on this problem with a combined SAT/CP approach.
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Stimuli Generation for Functional Hardware Verification with Constraint Programming,his field. We then present CSP models of a wide variety of stimuli generation problems, as well as the state of the art techniques used to solve them. We also discuss the current challenges in this area, and the prospects of solving them by advancing constraint programming technology beyond the state of the art.
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Decomposition Techniques for Hybrid MILP/CP Models applied to Scheduling and Routing Problems,in terms of a branch and cut framework. We then consider Vehicle Routing and Crew Rostering applications to illustrate how Hybrid Branch-and-Price method can be applied, and we discuss the different models that have been proposed in the literature.
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