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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 Time-Bounded Query Generator for Constraint Acquisition
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    Chapter 2 Propagating lex , find and replace with Dashed Strings
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    Chapter 3 Designing Fair, Efficient, and Interpretable Policies for Prioritizing Homeless Youth for Housing Resources
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    Chapter 4 An Efficient Relaxed Projection Method for Constrained Non-negative Matrix Factorization with Application to the Phase-Mapping Problem in Materials Science
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    Chapter 5 Dealing with Demand Uncertainty in Service Network and Load Plan Design
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    Chapter 6 Energy-Aware Production Scheduling with Power-Saving Modes
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    Chapter 7 EpisodeSupport: A Global Constraint for Mining Frequent Patterns in a Long Sequence of Events
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    Chapter 8 Off-Line and On-Line Optimization Under Uncertainty: A Case Study on Energy Management
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    Chapter 9 Reasoning on Sequences in Constraint-Based Local Search Frameworks
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    Chapter 10 Constraint Programming for High School Timetabling: A Scheduling-Based Model with Hot Starts
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    Chapter 11 Epiphytic Trees: Relational Consistency Applied to Global Optimization Problems
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    Chapter 12 Learning Heuristics for the TSP by Policy Gradient
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    Chapter 13 Three-Dimensional Matching Instances Are Rich in Stable Matchings
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    Chapter 14 From Backdoor Key to Backdoor Completability: Improving a Known Measure of Hardness for the Satisfiable CSP
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    Chapter 15 Constrained-Based Differential Privacy: Releasing Optimal Power Flow Benchmarks Privately
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    Chapter 16 Chasing First Queens by Integer Programming
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    Chapter 17 Accelerating Counting-Based Search
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    Chapter 18 Model Agnostic Solution of CSPs via Deep Learning: A Preliminary Study
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    Chapter 19 Boosting Efficiency for Computing the Pareto Frontier on Tree Structured Networks
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    Chapter 20 Bandits Help Simulated Annealing to Complete a Maximin Latin Hypercube Design
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    Chapter 21 A Dynamic Discretization Discovery Algorithm for the Minimum Duration Time-Dependent Shortest Path Problem
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    Chapter 22 Observations from Parallelising Three Maximum Common (Connected) Subgraph Algorithms
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    Chapter 23 Horizontally Elastic Not-First/Not-Last Filtering Algorithm for Cumulative Resource Constraint
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    Chapter 24 Soft-Regular with a Prefix-Size Violation Measure
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    Chapter 25 Constraint and Mathematical Programming Models for Integrated Port Container Terminal Operations
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    Chapter 26 Heuristic Variants of A $$^*$$ Search for 3D Flight Planning
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    Chapter 27 Juniper: An Open-Source Nonlinear Branch-and-Bound Solver in Julia
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    Chapter 28 Objective Landscapes for Constraint Programming
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    Chapter 29 An Update on the Comparison of MIP, CP and Hybrid Approaches for Mixed Resource Allocation and Scheduling
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    Chapter 30 Modelling and Solving the Senior Transportation Problem
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    Chapter 31 Solver Independent Rotating Workforce Scheduling
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    Chapter 32 Greedy Randomized Search for Scalable Compilation of Quantum Circuits
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    Chapter 33 A Comparison of Optimization Methods for Multi-objective Constrained Bin Packing Problems
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    Chapter 34 A $$O(n \log ^2 n)$$ Checker and $$O(n^2 \log n)$$ Filtering Algorithm for the Energetic Reasoning
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    Chapter 35 The W eighted C ircuits L max Constraint
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    Chapter 36 A Local Search Framework for Compiling Relaxed Decision Diagrams
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    Chapter 37 Symmetry Breaking Inequalities from the Schreier-Sims Table
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    Chapter 38 Frequency-Based Multi-agent Patrolling Model and Its Area Partitioning Solution Method for Balanced Workload
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    Chapter 39 Algorithms for Sparse k -Monotone Regression
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    Chapter 40 Revisiting the Self-adaptive Large Neighborhood Search
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    Chapter 41 A Warning Propagation-Based Linear-Time-and-Space Algorithm for the Minimum Vertex Cover Problem on Giant Graphs
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    Chapter 42 Symbolic Bucket Elimination for Piecewise Continuous Constrained Optimization
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    Chapter 43 Learning a Classification of Mixed-Integer Quadratic Programming Problems
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    Chapter 44 Fleet Scheduling in Underground Mines Using Constraint Programming
Attention for Chapter 40: Revisiting the Self-adaptive Large Neighborhood Search
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Chapter title
Revisiting the Self-adaptive Large Neighborhood Search
Chapter number 40
Book title
Integration of Constraint Programming, Artificial Intelligence, and Operations Research
Published by
Springer, Cham, June 2018
DOI 10.1007/978-3-319-93031-2_40
Book ISBNs
978-3-31-993030-5, 978-3-31-993031-2
Authors

Charles Thomas, Pierre Schaus, Thomas, Charles, Schaus, Pierre

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 50%
Lecturer 2 33%
Professor 1 17%
Readers by discipline Count As %
Computer Science 4 67%
Mathematics 1 17%
Decision Sciences 1 17%