Editors:
- Includes both well established research results, and directions for future research.
- Provides several solution methods for common constraint programming problems.
- Presents both theoretical techniques and real-world applications in artificial intelligence and operations research.
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 45)
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Table of contents (16 chapters)
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Front Matter
About this book
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.
Editors and Affiliations
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, Department of Computer Science, Brown University, Providence, USA
Pascal van Hentenryck
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, Department of Electronics, Computer Scie, Università di Bologna, Bologna, Italy
Michela Milano
Bibliographic Information
Book Title: Hybrid Optimization
Book Subtitle: The Ten Years of CPAIOR
Editors: Pascal van Hentenryck, Michela Milano
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-1-4419-1644-0
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media, LLC 2011
Hardcover ISBN: 978-1-4419-1643-3Published: 08 November 2010
Softcover ISBN: 978-1-4614-2730-8Published: 27 December 2012
eBook ISBN: 978-1-4419-1644-0Published: 05 November 2010
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: XII, 560
Topics: Optimization, Artificial Intelligence, Operations Research, Management Science, Computational Intelligence