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Integration of Constraint Programming, Artificial Intelligence, and Operations Research

Overview of attention for book
Integration of Constraint Programming, Artificial Intelligence, and Operations Research
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 The HyperTrac Project: Recent Progress and Future Research Directions on Hypergraph Decompositions
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    Chapter 2 Restarting Algorithms: Sometimes There Is Free Lunch
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    Chapter 3 Discriminating Instance Generation from Abstract Specifications: A Case Study with CP and MIP
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    Chapter 4 Bilevel Optimization for On-Demand Multimodal Transit Systems
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    Chapter 5 Local Search and Constraint Programming for a Real-World Examination Timetabling Problem
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    Chapter 6 Parameterised Bounds on the Sum of Variables in Time-Series Constraints
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    Chapter 7 A Learning-Based Algorithm to Quickly Compute Good Primal Solutions for Stochastic Integer Programs
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    Chapter 8 Integer Programming Techniques for Minor-Embedding in Quantum Annealers
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    Chapter 9 An Ising Framework for Constrained Clustering on Special Purpose Hardware
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    Chapter 10 From MiniZinc to Optimization Modulo Theories, and Back
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    Chapter 11 Transfer-Expanded Graphs for On-Demand Multimodal Transit Systems
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    Chapter 12 Reinforcement Learning for Variable Selection in a Branch and Bound Algorithm
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    Chapter 13 Duplex Encoding of Staircase At-Most-One Constraints for the Antibandwidth Problem
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    Chapter 14 Core-Guided and Core-Boosted Search for CP
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    Chapter 15 Robust Resource Planning for Aircraft Ground Operations
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    Chapter 16 Primal Heuristics for Wasserstein Barycenters
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    Chapter 17 An Exact CP Approach for the Cardinality-Constrained Euclidean Minimum Sum-of-Squares Clustering Problem
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    Chapter 18 Minimum Cycle Partition with Length Requirements
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    Chapter 19 Optimizing Student Course Preferences in School Timetabling
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    Chapter 20 Adaptive CP-Based Lagrangian Relaxation for TSP Solving
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    Chapter 21 Minimal Perturbation in University Timetabling with Maximum Satisfiability
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    Chapter 22 Leveraging Constraint Scheduling: A Case Study to the Textile Industry
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    Chapter 23 Template Matching and Decision Diagrams for Multi-agent Path Finding
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    Chapter 24 Hybrid Classification and Reasoning for Image-Based Constraint Solving
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    Chapter 25 Multi-speed Gearbox Synthesis Using Global Search and Non-convex Optimization
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    Chapter 26 Enumerative Branching with Less Repetition
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    Chapter 27 Lossless Compression of Deep Neural Networks
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    Chapter 28 CP and Hybrid Models for Two-Stage Batching and Scheduling
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    Chapter 29 Improving a Branch-and-Bound Approach for the Degree-Constrained Minimum Spanning Tree Problem with LKH
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    Chapter 30 Insertion Sequence Variables for Hybrid Routing and Scheduling Problems
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    Chapter 31 Relaxation-Aware Heuristics for Exact Optimization in Graphical Models
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    Chapter 32 Exact Method Approaches for the Differential Harvest Problem
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    Chapter 33 Scheduling of Dual-Arm Multi-tool Assembly Robots and Workspace Layout Optimization
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    Chapter 34 Conflict-Free Learning for Mixed Integer Programming
Attention for Chapter 26: Enumerative Branching with Less Repetition
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