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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 Constraint Programming for Dynamic Symbolic Execution of JavaScript
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    Chapter 2 Sequential and Parallel Solution-Biased Search for Subgraph Algorithms
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    Chapter 3 Core-Boosted Linear Search for Incomplete MaxSAT
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    Chapter 4 Binary Decision Diagrams for Bin Packing with Minimum Color Fragmentation
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    Chapter 5 Local Rapid Learning for Integer Programs
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    Chapter 6 A Status Report on Conflict Analysis in Mixed Integer Nonlinear Programming
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    Chapter 7 Generating Compound Moves in Local Search by Hybridisation with Complete Search
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    Chapter 8 SAT Encodings of Pseudo-Boolean Constraints with At-Most-One Relations
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    Chapter 9 A Constraint Programming Approach to Electric Vehicle Routing with Time Windows
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    Chapter 10 A Sampling-Free Anticipatory Algorithm for the Kidney Exchange Problem
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    Chapter 11 Evaluating Ising Processing Units with Integer Programming
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    Chapter 12 Using Cost-Based Solution Densities from TSP Relaxations to Solve Routing Problems
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    Chapter 13 A Counting-Based Approach to Scalable Micro-service Deployment
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    Chapter 14 An Optimization Approach to the Ordering Phase of an Attended Home Delivery Service
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    Chapter 15 Consistency for 0–1 Programming
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    Chapter 16 An Investigation into Prediction + Optimisation for the Knapsack Problem
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    Chapter 17 The Maximum Weighted Submatrix Coverage Problem: A CP Approach
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    Chapter 18 Learning MILP Resolution Outcomes Before Reaching Time-Limit
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    Chapter 19 An Improved Subsumption Testing Algorithm for the Optimal-Size Sorting Network Problem
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    Chapter 20 Investigating Constraint Programming for Real World Industrial Test Laboratory Scheduling
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    Chapter 21 An Approach to Robustness in the Stable Roommates Problem and Its Comparison with the Stable Marriage Problem
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    Chapter 22 Optimality Clue for Graph Coloring Problem
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    Chapter 23 Computing Wasserstein Barycenters via Linear Programming
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    Chapter 24 Repairing Learned Controllers with Convex Optimization: A Case Study
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    Chapter 25 A Hybrid Approach for Exact Coloring of Massive Graphs
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    Chapter 26 Modelling and Solving the Minimum Shift Design Problem
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    Chapter 27 A Computational Comparison of Optimization Methods for the Golomb Ruler Problem
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    Chapter 28 A New CP-Approach for a Parallel Machine Scheduling Problem with Time Constraints on Machine Qualifications
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    Chapter 29 Efficient Solution Methods for the Cumulative-Interference Channel Assignment Problem Using Integer Optimization and Constraint Programming
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    Chapter 30 Heat Exchanger Circuitry Design by Decision Diagrams
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    Chapter 31 Column Generation for Real-Time Ride-Sharing Operations
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    Chapter 32 Some Experiments with Submodular Function Maximization via Integer Programming
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    Chapter 33 Metric Hybrid Factored Planning in Nonlinear Domains with Constraint Generation
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    Chapter 34 Last-Mile Scheduling Under Uncertainty
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    Chapter 35 Building Optimal Steiner Trees on Supercomputers by Using up to 43,000 Cores
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    Chapter 36 Deep Inverse Optimization
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    Chapter 37 A Study on the Traveling Salesman Problem with a Drone
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    Chapter 38 Lower Bounds for Uniform Machine Scheduling Using Decision Diagrams
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    Chapter 39 Extending Compact-Diagram to Basic Smart Multi-Valued Variable Diagrams
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    Chapter 40 Arc Consistency Revisited
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    Chapter 41 Embedding Decision Diagrams into Generative Adversarial Networks
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    Chapter 42 Time Table Edge Finding with Energy Variables
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    Chapter 43 Quadratic Reformulation of Nonlinear Pseudo-Boolean Functions via the Constraint Composite Graph
Attention for Chapter 11: Evaluating Ising Processing Units with Integer Programming
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