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Integration of AI and OR Techniques in Constraint Programming

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Cover of 'Integration of AI and OR Techniques in Constraint Programming'

Table of Contents

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    Book Overview
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    Chapter 1 On CNF Encodings of Decision Diagrams
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    Chapter 2 Time-Series Constraints: Improvements and Application in CP and MIP Contexts
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    Chapter 3 Finding a Collection of MUSes Incrementally
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    Chapter 4 Decomposition Based on Decision Diagrams
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    Chapter 5 Logic-Based Decomposition Methods for the Travelling Purchaser Problem
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    Chapter 6 Lagrangian Decomposition via Sub-problem Search
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    Chapter 7 Non-linear Optimization of Business Models in the Electricity Market
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    Chapter 8 Weighted Spanning Tree Constraint with Explanations
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    Chapter 9 Forward-Checking Filtering for Nested Cardinality Constraints: Application to an Energy Cost-Aware Production Planning Problem for Tissue Manufacturing
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    Chapter 10 Cyclic Routing of Unmanned Aerial Vehicles
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    Chapter 11 Parallelizing Constraint Programming with Learning
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    Chapter 12 Parallel Composition of Scheduling Solvers
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    Chapter 13 Rail Capacity Modelling with Constraint Programming
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    Chapter 14 Scheduling Home Hospice Care with Logic-Based Benders Decomposition
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    Chapter 15 A Global Constraint for Mining Sequential Patterns with GAP Constraint
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    Chapter 16 A Reservoir Balancing Constraint with Applications to Bike-Sharing
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    Chapter 17 Optimization Models for a Real-World Snow Plow Routing Problem
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    Chapter 18 The TaskIntersection Constraint
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    Chapter 19 Integration of AI and OR Techniques in Constraint Programming
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    Chapter 20 Constructions and In-Place Operations for MDDs Based Constraints
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    Chapter 21 Balancing Nursing Workload by Constraint Programming
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    Chapter 22 Designing Spacecraft Command Loops Using Two-Dimension Vehicle Routing
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    Chapter 23 Constraint Programming Approach for Spatial Packaging Problem
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    Chapter 24 Detecting Semantic Groups in MIP Models
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    Chapter 25 Revisiting Two-Sided Stability Constraints
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    Chapter 26 Optimal Flood Mitigation over Flood Propagation Approximations
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    Chapter 27 A Bit-Vector Solver with Word-Level Propagation
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    Chapter 28 A New Solver for the Minimum Weighted Vertex Cover Problem
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    Chapter 29 Optimal Upgrading Schemes for Effective Shortest Paths in Networks
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Title
Integration of AI and OR Techniques in Constraint Programming
Published by
Springer International Publishing, May 2016
DOI 10.1007/978-3-319-33954-2
ISBNs
978-3-31-933953-5, 978-3-31-933954-2
Editors

Quimper, Claude-Guy

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