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Integration of Constraint Programming, Artificial Intelligence, and Operations Research

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Cover of 'Integration of Constraint Programming, Artificial Intelligence, and Operations Research'

Table of Contents

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    Book Overview
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    Chapter 1 Efficiently Approximating High-Dimensional Pareto Frontiers for Tree-Structured Networks Using Expansion and Compression
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    Chapter 2 Objective-Based Counterfactual Explanations for Linear Discrete Optimization
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    Chapter 4 Cutting Plane Selection with Analytic Centers and Multiregression
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    Chapter 5 Handling Symmetries in Mixed-Integer Semidefinite Programs
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    Chapter 6 A Mixed-Integer Linear Programming Reduction of Disjoint Bilinear Programs via Symbolic Variable Elimination
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    Chapter 7 Local Branching Relaxation Heuristics for Integer Linear Programs
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    Chapter 8 Online Learning for Scheduling MIP Heuristics
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    Chapter 9 Contextual Robust Optimisation with Uncertainty Quantification
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    Chapter 10 Breaking Symmetries with High Dimensional Graph Invariants and Their Combination
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    Chapter 12 ZDD-Based Algorithmic Framework for Solving Shortest Reconfiguration Problems
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    Chapter 13 Neural Networks for Local Search and Crossover in Vehicle Routing: A Possible Overkill?
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    Chapter 14 Getting Away with More Network Pruning: From Sparsity to Geometry and Linear Regions
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    Chapter 15 OAMIP: Optimizing ANN Architectures Using Mixed-Integer Programming
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    Chapter 16 Predicting the Optimal Period for Cyclic Hoist Scheduling Problems
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    Chapter 17 Scalable and Near-Optimal $$\varepsilon $$ ε -Tube Clusterwise Regression
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    Chapter 18 Branch & Learn with Post-hoc Correction for Predict+Optimize with Unknown Parameters in Constraints
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    Chapter 19 Interpretable Clustering via Soft Clustering Trees
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    Chapter 20 Ner4Opt : Named Entity Recognition for Optimization Modelling from Natural Language
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    Chapter 21 Exploiting Entropy in Constraint Programming
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    Chapter 22 Constraint Propagation on GPU: A Case Study for the Cumulative Constraint
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    Chapter 23 Constraint Programming for the Robust Two-Machine Flow-Shop Scheduling Problem with Budgeted Uncertainty
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    Chapter 24 A Weighted Counting Algorithm for the Circuit Constraint
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    Chapter 25 Boolean-Arithmetic Equations: Acquisition and Uses
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    Chapter 26 Generating Random Instances of Weighted Model Counting
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    Chapter 27 Virtual Pairwise Consistency in Cost Function Networks
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    Chapter 28 Multi-objective Optimization for the Design of Salary Structures
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    Chapter 29 Scheduling Complex Observation Requests for a Constellation of Satellites: Large Neighborhood Search Approaches
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    Chapter 30 Predicting Wildlife Trafficking Routes with Differentiable Shortest Paths
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    Chapter 31 Iterated Greedy Constraint Programming for Scheduling Steelmaking Continuous Casting
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    Chapter 32 Combining Incomplete Search and Clause Generation: An Application to the Orienteering Problems with Time Windows
Attention for Chapter 4: Cutting Plane Selection with Analytic Centers and Multiregression
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Chapter title
Cutting Plane Selection with Analytic Centers and Multiregression
Chapter number 4
Book title
Integration of Constraint Programming, Artificial Intelligence, and Operations Research
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-33271-5_4
Book ISBNs
978-3-03-133270-8, 978-3-03-133271-5
Authors

Turner, Mark, Berthold, Timo, Besançon, Mathieu, Koch, Thorsten

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 50%
Unknown 1 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 50%
Unknown 1 50%