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Hybrid Optimization: The Ten Years of CPAIOR (Springer Optimization and Its Applications Book 45) 🔍
Michela Milano, Pascal van Hentenryck (auth.), Pascal van Hentenryck, Michela Milano (eds.) Springer-Verlag New York, Springer Optimization and Its Applications, Springer Optimization and Its Applications 45, 1, 2010
英语 [en] · PDF · 7.2MB · 2010 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/scihub/zlib · Save
描述
This volume focuses on the integration of artificial intelligence and constraint programming to solve problems in operations research and combinatorial optimization. This volume collects the contributions of experts from various research areas including decision theory, systems engineering, propositional satisfiability, mathematical optimization, and artificial intelligence. These invited scholars describe and demonstrate some of the most important topics and results from the last ten years of research related to hybrid optimization. Key Features: - Includes both well established research results, and directions for future research. - Provides several solution methods for common combinatorial optimization and decision problems. - Presents both theoretical techniques and real-world applications in artificial intelligence and operations research. Hybrid Optimization can serve as a valuable resource for graduate students, researchers and practitioners studying artificial intelligence or operations research who are interested in investigating or applying constraint programming techniques.
备用文件名
lgrsnf/A:\compressed\10.1007%2F978-1-4419-1644-0.pdf
备用文件名
nexusstc/Hybrid Optimization: The Ten Years of CPAIOR/e06b6379c2bcd8ea0caca664776b7a1f.pdf
备用文件名
scihub/10.1007/978-1-4419-1644-0.pdf
备用文件名
zlib/Computers/Michela Milano, Pascal van Hentenryck (auth.), Pascal van Hentenryck, Michela Milano (eds.)/Hybrid Optimization: The Ten Years of CPAIOR_2097404.pdf
备选标题
Hybrid Optimization [recurso electrónico] : the Ten Years of CPAIOR
备选作者
Michela Milano; Pascal Van Hentenryck; International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimisation Problems
备选作者
Pascal van Hentenryck, Michela Milano, Pascal Hentenryck
备选作者
Editor-pascal Van Hentenryck; Editor-michela Milano
备选作者
van Hentenryck, Pascal; Milano, Michela
备用出版商
Springer US
备用版本
Springer Optimization and Its Applications, 45, v. 45, 1, New York, NY, 2010
备用版本
Springer Optimization and Its Applications, 45, 1, New York, NY, 2011
备用版本
Springer optimization and its applications, 45, Estados Unidos, 2011
备用版本
United States, United States of America
备用版本
Springer Nature, New York, 2011
备用版本
2011, 2010
元数据中的注释
lg943520
元数据中的注释
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备用描述
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.
备用描述
Front Matter....Pages i-xi
The Ten Years of CPAIOR: A Success Story....Pages 1-9
Hybrid Modeling....Pages 11-62
Global Constraints: A Survey....Pages 63-134
Decomposition Techniques for Hybrid MILP/CP Models applied to Scheduling and Routing Problems....Pages 135-167
Hybrid Solving Techniques....Pages 169-190
Over-Constrained Problems....Pages 191-225
A Survey on CP-AI-OR Hybrids for Decision Making Under Uncertainty....Pages 227-270
Constraint Programming and Local Search Hybrids....Pages 271-303
Hybrid Metaheuristics....Pages 305-335
Learning in Search....Pages 337-356
What Is Autonomous Search?....Pages 357-391
Software Tools Supporting Integration....Pages 393-423
Connections and Integration with SAT Solvers: A Survey and a Case Study in Computational Biology....Pages 425-461
Bioinformatics: A Challenge to Constraint Programming....Pages 463-487
Sports Scheduling....Pages 489-508
Stimuli Generation for Functional Hardware Verification with Constraint Programming....Pages 509-558
备用描述
Hybrid Optimization focuses on the application of artificial intelligence and operations research techniques to solve combinatorial optimization problems. The text presents techniques for hybrid modeling, integrated solving strategies, decomposition techniques, use of relaxations, and search strategies.
备用描述
Springer Optimization and Its Applications
Erscheinungsdatum: 08.11.2010
开源日期
2013-08-01
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