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Integration of Constraint Programming, Artificial Intelligence, and Operations Research

20th International Conference, CPAIOR 2023, Nice, France, May 29 –June 1, 2023, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Andre A. Cire

    1. Department of Management, University of Toronto Scarborough and Rotman School of Management, University of Toronto, Toronto, Canada

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13884)

Included in the following conference series:

Conference proceedings info: CPAIOR 2023.

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Table of contents (32 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Efficiently Approximating High-Dimensional Pareto Frontiers for Tree-Structured Networks Using Expansion and Compression

    • Yiwei Bai, Qinru Shi, Marc Grimson, Alexander Flecker, Carla P. Gomes
    Pages 1-17

  3. Objective-Based Counterfactual Explanations for Linear Discrete Optimization

    • Anton Korikov, J. Christopher Beck
    Pages 18-34

  4. Column Elimination for Capacitated Vehicle Routing Problems

    • Anthony Karahalios, Willem-Jan van Hoeve
    Pages 35-51

  5. Cutting Plane Selection with Analytic Centers and Multiregression

    • Mark Turner, Timo Berthold, Mathieu Besançon, Thorsten Koch
    Pages 52-68

  6. Handling Symmetries in Mixed-Integer Semidefinite Programs

    • Christopher Hojny, Marc E. Pfetsch
    Pages 69-78

  7. A Mixed-Integer Linear Programming Reduction of Disjoint Bilinear Programs via Symbolic Variable Elimination

    • Jihwan Jeong, Scott Sanner, Akshat Kumar
    Pages 79-95

  8. Local Branching Relaxation Heuristics for Integer Linear Programs

    • Taoan Huang, Aaron Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner
    Pages 96-113

  9. Online Learning for Scheduling MIP Heuristics

    • Antonia Chmiela, Ambros Gleixner, Pawel Lichocki, Sebastian Pokutta
    Pages 114-123

  10. Contextual Robust Optimisation with Uncertainty Quantification

    • Egon Peršak, Miguel F. Anjos
    Pages 124-132

  11. Breaking Symmetries with High Dimensional Graph Invariants and Their Combination

    • Avraham Itzhakov, Michael Codish
    Pages 133-149

  12. Optimization Bounds from Decision Diagrams in Haddock

    • Rebecca Gentzel, Laurent Michel, Willem-Jan van Hoeve
    Pages 150-166

  13. ZDD-Based Algorithmic Framework for Solving Shortest Reconfiguration Problems

    • Takehiro Ito, Jun Kawahara, Yu Nakahata, Takehide Soh, Akira Suzuki, Junichi Teruyama et al.
    Pages 167-183

  14. Neural Networks for Local Search and Crossover in Vehicle Routing: A Possible Overkill?

    • Ítalo Santana, Andrea Lodi, Thibaut Vidal
    Pages 184-199

  15. Getting Away with More Network Pruning: From Sparsity to Geometry and Linear Regions

    • Junyang Cai, Khai-Nguyen Nguyen, Nishant Shrestha, Aidan Good, Ruisen Tu, Xin Yu et al.
    Pages 200-218

  16. OAMIP: Optimizing ANN Architectures Using Mixed-Integer Programming

    • Mostafa ElAraby, Guy Wolf, Margarida Carvalho
    Pages 219-237

  17. Predicting the Optimal Period for Cyclic Hoist Scheduling Problems

    • Nikolaos Efthymiou, Neil Yorke-Smith
    Pages 238-253

  18. Scalable and Near-Optimal \(\varepsilon \)-Tube Clusterwise Regression

    • Aravinth Chembu, Scott Sanner, Elias B. Khalil
    Pages 254-263

  19. Branch & Learn with Post-hoc Correction for Predict+Optimize with Unknown Parameters in Constraints

    • Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee
    Pages 264-280

  20. Interpretable Clustering via Soft Clustering Trees

    • Eldan Cohen
    Pages 281-298
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  1. Integration of Constraint Programming, Artificial Intelligence, and Operations Research

Keywords

About this book

This book constitutes the proceedings of the 20th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2022, held in Nice, France, during May 29–June 1, 2023.
The 26 full papers and the 6 short papers presented in this book were carefully reviewed and selected from a total of 71 submissions.

The content of the papers present new techniques or new applications, and provide an opportunity for researchers in one area to learn about techniques in the others. Besides they give researchers the opportunity to show how the integration of techniques from different fields can lead to interesting results on large and complex problems.

Editors and Affiliations

  • Department of Management, University of Toronto Scarborough and Rotman School of Management, University of Toronto, Toronto, Canada

    Andre A. Cire

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