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Integration of Constraint Programming, Artificial Intelligence, and Operations Research

15th International Conference, CPAIOR 2018, Delft, The Netherlands, June 26–29, 2018, Proceedings

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Willem-Jan van Hoeve

    1. Carnegie Mellon University, Pittsburgh, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10848)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: CPAIOR 2018.

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Table of contents (44 papers)

  1. Front Matter

    Pages I-XXVI
    Download chapter PDF

  2. Time-Bounded Query Generator for Constraint Acquisition

    • Hajar Ait Addi, Christian Bessiere, Redouane Ezzahir, Nadjib Lazaar
    Pages 1-17

  3. Propagating lex, find and replace with Dashed Strings

    • Roberto Amadini, Graeme Gange, Peter J. Stuckey
    Pages 18-34

  4. Designing Fair, Efficient, and Interpretable Policies for Prioritizing Homeless Youth for Housing Resources

    • Mohammad Javad Azizi, Phebe Vayanos, Bryan Wilder, Eric Rice, Milind Tambe
    Pages 35-51

  5. An Efficient Relaxed Projection Method for Constrained Non-negative Matrix Factorization with Application to the Phase-Mapping Problem in Materials Science

    • Junwen Bai, Sebastian Ament, Guillaume Perez, John Gregoire, Carla Gomes
    Pages 52-62

  6. Dealing with Demand Uncertainty in Service Network and Load Plan Design

    • Ahmad Baubaid, Natashia Boland, Martin Savelsbergh
    Pages 63-71

  7. Energy-Aware Production Scheduling with Power-Saving Modes

    • Ondřej Benedikt, Přemysl Šůcha, István Módos, Marek Vlk, Zdeněk Hanzálek
    Pages 72-81

  8. EpisodeSupport: A Global Constraint for Mining Frequent Patterns in a Long Sequence of Events

    • Quentin Cappart, John O. R. Aoga, Pierre Schaus
    Pages 82-99

  9. Off-Line and On-Line Optimization Under Uncertainty: A Case Study on Energy Management

    • Allegra De Filippo, Michele Lombardi, Michela Milano
    Pages 100-116

  10. Reasoning on Sequences in Constraint-Based Local Search Frameworks

    • Renaud De Landtsheer, Yoann Guyot, Gustavo Ospina, Fabian Germeau, Christophe Ponsard
    Pages 117-134

  11. Constraint Programming for High School Timetabling: A Scheduling-Based Model with Hot Starts

    • Emir Demirović, Peter J. Stuckey
    Pages 135-152

  12. Epiphytic Trees: Relational Consistency Applied to Global Optimization Problems

    • Guilherme Alex Derenievicz, Fabiano Silva
    Pages 153-169

  13. Learning Heuristics for the TSP by Policy Gradient

    • Michel Deudon, Pierre Cournut, Alexandre Lacoste, Yossiri Adulyasak, Louis-Martin Rousseau
    Pages 170-181

  14. Three-Dimensional Matching Instances Are Rich in Stable Matchings

    • Guillaume Escamocher, Barry O’Sullivan
    Pages 182-197

  15. From Backdoor Key to Backdoor Completability: Improving a Known Measure of Hardness for the Satisfiable CSP

    • Guillaume Escamocher, Mohamed Siala, Barry O’Sullivan
    Pages 198-214

  16. Constrained-Based Differential Privacy: Releasing Optimal Power Flow Benchmarks Privately

    • Ferdinando Fioretto, Pascal Van Hentenryck
    Pages 215-231

  17. Chasing First Queens by Integer Programming

    • Matteo Fischetti, Domenico Salvagnin
    Pages 232-244

  18. Accelerating Counting-Based Search

    • Samuel Gagnon, Gilles Pesant
    Pages 245-253

  19. Model Agnostic Solution of CSPs via Deep Learning: A Preliminary Study

    • Andrea Galassi, Michele Lombardi, Paola Mello, Michela Milano
    Pages 254-262

  20. Boosting Efficiency for Computing the Pareto Frontier on Tree Structured Networks

    • Jonathan M. Gomes-Selman, Qinru Shi, Yexiang Xue, Roosevelt García-Villacorta, Alexander S. Flecker, Carla P. Gomes
    Pages 263-279
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  1. Integration of Constraint Programming, Artificial Intelligence, and Operations Research

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About this book

This book constitutes the proceedings of the 15th International Conference on Integration of Artificial Intelligence and Operations Research Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2018, held in Delft, The Netherlands, in June 2018.

The 47 full papers presented together with 3 abstracts of invited talks and 3 abstracts of fast-track journal papers were carefully reviewed and selected from 111 submissions. The conference brings together interested researchers from constraint programming, artificial intelligence, and operations research to present new techniques or applications in the intersection of these fields and provides an opportunity for researchers in one area to learn about techniques in the others, and to show how the integration of techniques from different fields can lead to interesting results on large and complex problems.

Editors and Affiliations

  • Carnegie Mellon University, Pittsburgh, USA

    Willem-Jan van Hoeve

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