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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 Sharpening Constraint Programming Approaches for Bit-Vector Theory
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    Chapter 2 Range-Consistent Forbidden Regions of Allen’s Relations
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    Chapter 3 MDDs are Efficient Modeling Tools: An Application to Some Statistical Constraints
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    Chapter 4 On Finding the Optimal BDD Relaxation
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    Chapter 5 Design and Implementation of Bounded-Length Sequence Variables
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    Chapter 6 In Search of Balance: The Challenge of Generating Balanced Latin Rectangles
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    Chapter 7 Debugging Unsatisfiable Constraint Models
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    Chapter 8 Learning Decision Trees with Flexible Constraints and Objectives Using Integer Optimization
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    Chapter 9 Relaxation Methods for Constrained Matrix Factorization Problems: Solving the Phase Mapping Problem in Materials Discovery
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    Chapter 10 Minimizing Landscape Resistance for Habitat Conservation
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    Chapter 11 A Hybrid Approach for Stator Winding Design Optimization
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    Chapter 12 A Distributed Optimization Method for the Geographically Distributed Data Centres Problem
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    Chapter 13 Explanation-Based Weighted Degree
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    Chapter 14 Counting Weighted Spanning Trees to Solve Constrained Minimum Spanning Tree Problems
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    Chapter 15 The Weighted Arborescence Constraint
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    Chapter 16 Learning When to Use a Decomposition
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    Chapter 17 Experiments with Conflict Analysis in Mixed Integer Programming
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    Chapter 18 A First Look at Picking Dual Variables for Maximizing Reduced Cost Fixing
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    Chapter 19 Experimental Validation of Volume-Based Comparison for Double-McCormick Relaxations
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    Chapter 20 Minimum Makespan Vehicle Routing Problem with Compatibility Constraints
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    Chapter 21 Solving the Traveling Salesman Problem with Time Windows Through Dynamically Generated Time-Expanded Networks
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    Chapter 22 A Fast Prize-Collecting Steiner Forest Algorithm for Functional Analyses in Biological Networks
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    Chapter 23 Scenario-Based Learning for Stochastic Combinatorial Optimisation
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    Chapter 24 Optimal Stock Sizing in a Cutting Stock Problem with Stochastic Demands
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    Chapter 25 Stochastic Task Networks
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    Chapter 26 Rescheduling Railway Traffic on Real Time Situations Using Time-Interval Variables
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    Chapter 27 Dynamic Temporal Decoupling
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    Chapter 28 A Multi-stage Simulated Annealing Algorithm for the Torpedo Scheduling Problem
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    Chapter 29 Combining CP and ILP in a Tree Decomposition of Bounded Height for the Sum Colouring Problem
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    Chapter 30 htd – A Free, Open-Source Framework for (Customized) Tree Decompositions and Beyond
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    Chapter 31 The Nemhauser-Trotter Reduction and Lifted Message Passing for the Weighted CSP
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    Chapter 32 A Local Search Approach for Incomplete Soft Constraint Problems: Experimental Results on Meeting Scheduling Problems
Attention for Chapter 9: Relaxation Methods for Constrained Matrix Factorization Problems: Solving the Phase Mapping Problem in Materials Discovery
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Chapter title
Relaxation Methods for Constrained Matrix Factorization Problems: Solving the Phase Mapping Problem in Materials Discovery
Chapter number 9
Book title
Integration of AI and OR Techniques in Constraint Programming
Published by
Springer, Cham, June 2017
DOI 10.1007/978-3-319-59776-8_9
Book ISBNs
978-3-31-959775-1, 978-3-31-959776-8
Authors

Junwen Bai, Johan Bjorck, Yexiang Xue, Santosh K. Suram, John Gregoire, Carla Gomes

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 25%
Professor 3 25%
Student > Doctoral Student 1 8%
Student > Ph. D. Student 1 8%
Professor > Associate Professor 1 8%
Other 0 0%
Unknown 3 25%
Readers by discipline Count As %
Computer Science 2 17%
Materials Science 2 17%
Chemistry 2 17%
Agricultural and Biological Sciences 1 8%
Chemical Engineering 1 8%
Other 1 8%
Unknown 3 25%