Constraint Programming and Large Scale Discrete Optimization

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Overview

Constraint programming has become an important general approach for solving hard combinatorial problems that occur in a number of application domains, such as scheduling and configuration. This volume contains selected papers from the workshop on Constraint Programming and Large Scale Discrete Optimization held at DIMACS. It gives a sense of state-of-the-art research in this field, touching on many of the important issues that are emerging and giving an idea of the major current trends. Topics include new strategies for local search, multithreaded constraint programming, specialized constraints that enhance consistency processing, fuzzy representations, hybrid approaches involving both constraint programming and integer programming, and applications to scheduling problems in domains such as sports scheduling and satellite scheduling.

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Editorial Reviews

Booknews
The proceedings of the September 1998 workshop deals with the application of constraint programming to problems of combinatorial optimization and industrial practice, covering general techniques, scheduling problems, and software methodology. The eight papers discuss using global constraints for local search, multithreaded constraint programming, employee scheduling, mission scheduling on orbiting satellites, sports scheduling, and the main results of the CHIC-2 project on large scale constraint optimization. No index. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

Table of Contents

Foreword
Introduction to DIMACS workshop on constraint programming and large scale discrete optimization 1
Using global constraints for local search 9
Guided local search joins the elite in discrete optimisation 29
Multithreaded constraint programming: A hybrid approach 41
Nurse rostering as constraint satisfaction with fuzzy constraints and inferred control strategies 67
A constraint-based approach to satellite scheduling 101
Minimization of the number of breaks in sports scheduling problems using constraint programming 115
A constraint programming pre-processor for a bus driver scheduling system 131
Large scale combinatorial optimization: A methodological viewpoint 151
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