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Hybrid Optimization

The Ten Years of CPAIOR

  • Book
  • © 2011

Overview

  • 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)

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

  • , Department of Computer Science, Brown University, Providence, USA

    Pascal van Hentenryck

  • , Department of Electronics, Computer Scie, Università di Bologna, Bologna, Italy

    Michela Milano

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