Overview

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.

Full Product Details

Author:   Pascal van Hentenryck ,  Michela Milano
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2011 ed.
Volume:   45
Dimensions:   Width: 15.50cm , Height: 2.90cm , Length: 23.50cm
Weight:   0.866kg
ISBN:  

9781461427308

ISBN 10:   1461427304
Pages:   560
Publication Date:   27 December 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

- PART 1: MODELING.- CHAPTER 2 - Hybrid Modeling; John Hooker.- PART 2: SOLVING.- CHAPTER 3 - Global Constraints; Jean-Charles Regin.- CHAPTER 4 Hybrid Solvers; J. Grossmann L. Wolsey.- CHAPTER 5 OverConstrained Problems; Willem van Hoeve.- PART 3 SEARCH.- CHAPTER 6 - Hybrid Search Strategies-> Integration of LS and tree search; Gilles Pesant.- CHAPTER 7 - Hybrid metaheuristics; Andrea Roli, Christian Blum.- CHAPTER 8 Learning in search/modeling; Philippe Refalo.- CHAPTER 9 Autonomous search; Yussef Hamadi, Frederic Saubion.- PART 4 TOOLS.- CHAPTER 10 - TOOLS; Mark Wallace, Peter Stuckey.-  CHAPTER 11 Connections/Integration with SAT solvers; Youssef Hamadi and Lucas Bordeaux.- PART 5 INNOVATIVE APPLICATIONS.- CHAPTER 12 Bioinformatics; Pedro Barahona.- CHAPTER 13 Processor Validation; Yehuda Naveh.- CHAPTER 14 Networks; Helmut Simonis.- CHAPTER 15 Airline scheduling; Cynthia Barnhart.- CHAPTER 16 sport scheduling; Mike Trick.- CHAPTER 17 Optimal control of hybrid systems and embdded system design; Alberto Bemporad, Luca Benini.

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