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Foundations & Applications
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By
Holger H. Hoos, The University of British Columbia, Canada
Thomas Stützle, Darmstadt University of Technology, Germany
Description
Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for solving computationally difficult
problems in many areas of computer science and operations research, including propositional satisfiability, constraint satisfaction,
routing, and scheduling. SLS algorithms have also become increasingly popular for solving challenging combinatorial problems in many
application areas, such as e-commerce and bioinformatics.
Hoos and Stutzle offer the first systematic and unified treatment of SLS algorithms.
In this groundbreaking new book, they examine the general concepts and specific instances of SLS algorithms and carefully consider their
development, analysis and application. The discussion focuses on the most successful SLS methods and explores their underlying principles,
properties, and features. This book gives hands-on experience with some of the most widely used search techniques, and provides readers
with the necessary understanding and skills to use this powerful tool.
Audience
Academic and industry researchers in CS, AI, operations research, and engineering (as an introduction to and/or overview of the field
or as a reference text); practitioners who need to solve combinatorial problems for practical applications.
Contents
Prologue
Part I. Foundations
1. Introduction
2. SLS Methods
3. Generalized Local Search Machines
4. Empirical Analysis of SLS Algorithms
5. Search Space Structure and SLS Performance
Part II. Applications
6. SAT and Constraint Satisfaction
7. MAX-SAT and MAX-CSP
8. Traveling
Salesman Problems
9. Scheduling Problems
10. Other Combinatorial Problems
Epilogue
Glossary
| Bibliographic details |
Hardbound, 658 pages, publication date: SEP-2004
ISBN-13: 978-1-55860-872-6
ISBN-10: 1-55860-872-9
Imprint: MORGAN KAUFFMAN
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| Price and Ordering |
Price:
EUR 59.95
USD 80.95
GBP 51
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Last update: 7 Sep 2009
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