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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
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Integration of Constraint Programming, Artificial Intelligence, and Operations Research
Published by
Springer International Publishing, July 2018
DOI 10.1007/978-3-319-93031-2
978-3-31-993030-5, 978-3-31-993031-2

van Hoeve, Willem-Jan

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The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 33%
Researcher 2 11%
Student > Master 2 11%
Unknown 8 44%
Readers by discipline Count As %
Engineering 4 22%
Computer Science 2 11%
Economics, Econometrics and Finance 1 6%
Social Sciences 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Other 0 0%
Unknown 9 50%