Hybrid Optimization

The Ten Years of CPAIOR

  • Pascal van Hentenryck
  • Michela Milano
Part of the Springer Optimization and Its Applications book series (SOIA, volume 45)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Michela Milano, Pascal van Hentenryck
    Pages 1-9
  3. John N. Hooker
    Pages 11-62
  4. Jean-Charles Régin
    Pages 63-134
  5. Pedro M. Castro, Ignacio E. Grossmann, Louis-Martin Rousseau
    Pages 135-167
  6. Tobias Achterberg, Andrea Lodi
    Pages 169-190
  7. Willem-Jan van Hoeve
    Pages 191-225
  8. Brahim Hnich, Roberto Rossi, S. Armagan Tarim, Steven Prestwich
    Pages 227-270
  9. Christian Blum, Jakob Puchinger, Günther Raidl, Andrea Roli
    Pages 305-335
  10. Philippe Refalo
    Pages 337-356
  11. Youssef Hamadi, Eric Monfroy, Frédéric Saubion
    Pages 357-391
  12. Tallys Yunes
    Pages 393-423
  13. Fabien Corblin, Lucas Bordeaux, Eric Fanchon, Youssef Hamadi, Laurent Trilling
    Pages 425-461
  14. Pedro Barahona, Ludwig Krippahl, Olivier Perriquet
    Pages 463-487
  15. Michael A. Trick
    Pages 489-508

About this book

Introduction

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.

Editors and affiliations

  • Pascal van Hentenryck
    • 1
  • Michela Milano
    • 2
  1. 1., Department of Computer ScienceBrown UniversityProvidenceUSA
  2. 2., Department of Electronics, Computer ScieUniversità di BolognaBolognaItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4419-1644-0
  • Copyright Information Springer Science+Business Media LLC 2011
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4419-1643-3
  • Online ISBN 978-1-4419-1644-0
  • Series Print ISSN 1931-6828
  • About this book