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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 A Time-Dependent No-Overlap Constraint: Application to Urban Delivery Problems
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    Chapter 2 Rectangle Placement for VLSI Testing
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    Chapter 3 A Constraint-Based Local Search for Edge Disjoint Rooted Distance-Constrained Minimum Spanning Tree Problem
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    Chapter 4 A Benders Approach to the Minimum Chordal Completion Problem
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    Chapter 5 MaxSAT-Based Scheduling of B2B Meetings
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    Chapter 6 Embedding Decision Trees and Random Forests in Constraint Programming
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    Chapter 7 Scheduling with Fixed Maintenance, Shared Resources and Nonlinear Feedrate Constraints: A Mine Planning Case Study
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    Chapter 8 Learning Value Heuristics for Constraint Programming
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    Chapter 9 Derivative-Free Optimization: Lifting Single-Objective to Multi-Objective Algorithm
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    Chapter 10 Branching on Multi-aggregated Variables
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    Chapter 11 Time-Table Disjunctive Reasoning for the Cumulative Constraint
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    Chapter 12 Uncertain Data Dependency Constraints in Matrix Models
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    Chapter 13 An Efficient Local Search for Partial Latin Square Extension Problem
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    Chapter 14 Enhancing MIP Branching Decisions by Using the Sample Variance of Pseudo Costs
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    Chapter 15 BDD-Guided Clause Generation
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    Chapter 16 Combining Constraint Propagation and Discrete Ellipsoid-Based Search to Solve the Exact Quadratic Knapsack Problem
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    Chapter 17 Large Neighborhood Search for Energy Aware Meeting Scheduling in Smart Buildings
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    Chapter 18 ILP and CP Formulations for the Lazy Bureaucrat Problem
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    Chapter 19 The Smart Table Constraint
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    Chapter 20 Constraint-Based Sequence Mining Using Constraint Programming
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    Chapter 21 A Comparative Study of MIP and CP Formulations for the B2B Scheduling Optimization Problem
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    Chapter 22 Constraint-Based Local Search for Golomb Rulers
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    Chapter 23 Packing While Traveling: Mixed Integer Programming for a Class of Nonlinear Knapsack Problems
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    Chapter 24 MaxSAT-Based Cutting Planes for Learning Graphical Models
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    Chapter 25 A Multistage Stochastic Programming Approach to the Dynamic and Stochastic VRPTW
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    Chapter 26 Constraint Solving on Bounded String Variables
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    Chapter 27 Freight Train Threading with Different Algorithms
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    Chapter 28 Learning General Constraints in CSP
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    Chapter 29 Understanding the Potential of Propagators
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    Chapter 30 Failure-Directed Search for Constraint-Based Scheduling
Attention for Chapter 27: Freight Train Threading with Different Algorithms
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Chapter title
Freight Train Threading with Different Algorithms
Chapter number 27
Book title
Integration of AI and OR Techniques in Constraint Programming
Published in
Lecture notes in computer science, April 2015
DOI 10.1007/978-3-319-18008-3_27
Book ISBNs
978-3-31-918007-6, 978-3-31-918008-3
Authors

Ilankaikone Senthooran, Mark Wallace, Leslie De Koninck

Editors

Laurent Michel

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 33%
Unknown 2 67%
Readers by discipline Count As %
Engineering 1 33%
Unknown 2 67%