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  • Conference proceedings
  • © 2023

Learning and Intelligent Optimization

17th International Conference, LION 17, Nice, France, June 4–8, 2023, Revised Selected Papers

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14286)

Conference series link(s): LION: International Conference on Learning and Intelligent Optimization

Conference proceedings info: LION 2023.

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Table of contents (40 papers)

  1. Front Matter

    Pages i-xiv
  2. Anomaly Classification to Enable Self-healing in Cyber Physical Systems Using Process Mining

    • Uphar Singh, Deepak Gajjala, Rahamatullah Khondoker, Harshit Gupta, Ayush Sinha, O. P. Vyas
    Pages 1-15
  3. Hyper-box Classification Model Using Mathematical Programming

    • Georgios I. Liapis, Lazaros G. Papageorgiou
    Pages 16-30
  4. Fast and Robust Constrained Optimization via Evolutionary and Quadratic Programming

    • Konstantinos I. Chatzilygeroudis, Michael N. Vrahatis
    Pages 46-61
  5. Bayesian Optimization for Function Compositions with Applications to Dynamic Pricing

    • Kunal Jain, K. J. Prabuchandran, Tejas Bodas
    Pages 62-77
  6. Hierarchical Machine Unlearning

    • HongBin Zhu, YuXiao Xia, YunZhao Li, Wei Li, Kang Liu, Xianzhou Gao
    Pages 92-106
  7. Explaining the Behavior of Reinforcement Learning Agents Using Association Rules

    • Zahra Parham, Vi Tching de Lille, Quentin Cappart
    Pages 107-120
  8. Deep Randomized Networks for Fast Learning

    • Richárd Rádli, László Czúni
    Pages 121-134
  9. Generative Models via Optimal Transport and Gaussian Processes

    • Antonio Candelieri, Andrea Ponti, Francesco Archetti
    Pages 135-149
  10. Real-World Streaming Process Discovery from Low-Level Event Data

    • Franck Lefebure, Cecile Thuault, Stephane Cholet
    Pages 150-164
  11. Robust Neural Network Approach to System Identification in the High-Noise Regime

    • Elisa Negrini, Giovanna Citti, Luca Capogna
    Pages 165-178
  12. GPU for Monte Carlo Search

    • Lilian Buzer, Tristan Cazenave
    Pages 179-193
  13. Learning the Bias Weights for Generalized Nested Rollout Policy Adaptation

    • Julien Sentuc, Farah Ellouze, Jean-Yves Lucas, Tristan Cazenave
    Pages 194-207
  14. Heuristics Selection with ML in CP Optimizer

    • Hugues Juillé, Renaud Dumeur, Paul Shaw
    Pages 208-222
  15. An Error-Based Measure for Concept Drift Detection and Characterization

    • Antoine Bugnicourt, Riad Mokadem, Franck Morvan, Nadia Bebeshina
    Pages 239-253
  16. Predict, Tune and Optimize for Data-Driven Shift Scheduling with Uncertain Demands

    • Michael Römer, Felix Hagemann, Till Frederik Porrmann
    Pages 254-269
  17. On Learning When to Decompose Graphical Models

    • Aleksandra Petrova, Javier Larrosa
    Pages 270-285

Other Volumes

  1. Learning and Intelligent Optimization

About this book

This book constitutes the refereed proceedings of the 17th International Conference on Learning and Intelligent Optimization, LION-17, held in Nice, France, during June 4–8, 2023.

The 40 full papers presented have been carefully reviewed and selected from 83 submissions. They focus on all aspects of unleashing the potential of integrating machine learning and optimization approaches, including automatic heuristic selection, intelligent restart strategies, predict-then-optimize, Bayesian optimization, and learning to optimize.

Editors and Affiliations

  • InsideOpt, Dover, USA

    Meinolf Sellmann

  • Bielefeld University, Bielefeld, Germany

    Kevin Tierney

Bibliographic Information

  • Book Title: Learning and Intelligent Optimization

  • Book Subtitle: 17th International Conference, LION 17, Nice, France, June 4–8, 2023, Revised Selected Papers

  • Editors: Meinolf Sellmann, Kevin Tierney

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-44505-7

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-44504-0Published: 25 October 2023

  • eBook ISBN: 978-3-031-44505-7Published: 24 October 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIV, 616

  • Number of Illustrations: 30 b/w illustrations, 142 illustrations in colour

  • Topics: Computational Mathematics and Numerical Analysis

Buy it now

Buying options

eBook USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access