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Learning and Intelligent Optimization

16th International Conference, LION 16, Milos Island, Greece, June 5–10, 2022, Revised Selected Papers

  • Conference proceedings
  • © 2022

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Editors:
  1. Dimitris E. Simos

    1. SBA Research, Vienna, Austria

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  2. Varvara A. Rasskazova

    1. Moscow Aviation Institute (National Research University), Moscow, Russia

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  3. Francesco Archetti

    1. Università degli Studi di Milano-Bicocca, Milan, Italy

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  4. Ilias S. Kotsireas

    1. Wilfrid Laurier University, Waterloo, Canada

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  5. Panos M. Pardalos

    1. University of Florida, Gainesville, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13621)

Included in the following conference series:

Conference proceedings info: LION 2022.

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Table of contents (39 papers)

  1. Front Matter

    Pages i-xiv
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  2. Invited Papers

    1. Front Matter

      Pages 1-1
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    2. Optimal Scheduling of the Leaves of a Tree and the SVO Frequencies of Languages

      • Christos H. Papadimitriou, Denis Turcu
      Pages 3-14

    3. From Design of Experiments to Combinatorics of Disasters: A Conceptual Framework for Disaster Exercises

      • Bernhard Garn, Klaus Kieseberg, Berina Celic, Dimitris E. Simos
      Pages 15-26

    4. Separating Two Polyhedra Utilizing Alternative Theorems and Penalty Function

      • Saeed Ketabchi, Hossein Moosaei, Mario R. Guarracino, Milan Hladík
      Pages 27-39

  3. Contributed Papers

    1. Front Matter

      Pages 41-41
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    2. A Composite Index Method for Optimization Benchmarking

      • Yulan Bai, Eli Olinick
      Pages 43-57

    3. Optimal Energy Management of Microgrid Using Multi-objective Optimisation Approach

      • Yahia Amoura, Ana I. Pereira, José Lima, Ângela Ferreira, Fouad Boukli-Hacene
      Pages 58-76

    4. A Stochastic Alternating Balance k-Means Algorithm for Fair Clustering

      • Suyun Liu, Luis Nunes Vicente
      Pages 77-92

    5. Binary Black Widow Optimization Algorithm for Feature Selection Problems

      • Ahmed Al-Saedi, Abdul-Rahman Mawlood-Yunis
      Pages 93-107

    6. Learning to Solve a Stochastic Orienteering Problem with Time Windows

      • Fynn Schmitt-Ulms, André Hottung, Meinolf Sellmann, Kevin Tierney
      Pages 108-122

    7. ML-Based Approach for Accelerating Global Search Algorithm for Solving Multicriteria Problems

      • Konstantin Barkalov, Vladimir Grishagin, Evgeny Kozinov
      Pages 123-129

    8. The Skewed Kruskal Algorithm

      • Ermanno Righini, Giovanni Righini
      Pages 130-135

    9. Bounds for Sparse Solutions of K-SVCR Multi-class Classification Model

      • Hossein Moosaei, Milan Hladík
      Pages 136-144

    10. Integer Linear Programming in Solving an Optimization Problem at the Mixing Department of the Metallurgical Production

      • Damir N. Gainanov, Dmitriy A. Berenov, Egor A. Nikolaev, Varvara A. Rasskazova
      Pages 145-161

    11. Realtime Gray-Box Algorithm Configuration

      • Dimitri Weiss, Kevin Tierney
      Pages 162-177

    12. Dynamic Urban Solid Waste Management System for Smart Cities

      • Adriano S. Silva, Thadeu Brito, Jose L. Diaz de Tuesta, José Lima, Ana I. Pereira, Adrián M. T. Silva et al.
      Pages 178-190

    13. Single MCMC Chain Parallelisation on Decision Trees

      • Efthyvoulos Drousiotis, Paul G. Spirakis
      Pages 191-204

    14. An Extension of NSGA-II for Scaling up Multi-objective Spatial Zoning Optimization

      • Mohadese Basirati, Romain Billot, Patrick Meyer
      Pages 205-219

    15. Competitive Supply Allocation in a Distribution Network Under Overproduction

      • Alexander Krylatov, Yulia Lonyagina, Anastasiya Raevskaya
      Pages 220-231
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  1. Learning and Intelligent Optimization

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About this book

This book constitutes the refereed proceedings of the 16th International Conference on Learning and Intelligent Optimization, LION 16, which took place in Milos Island, Greece, in June 2022.


The 36 full papers and 3 short papers presented in this volume were carefully reviewed and selected from 60 submissions. LION deals with automatic solver configuration, parallel methods, intelligent optimization, nature-inspired algorithms, hard combinatorial optimization problems, DC learning, computational intelligence, and others. The contributions were organized in topical sections as follows: Invited Papers; Contributed Papers.


Editors and Affiliations

  • SBA Research, Vienna, Austria

    Dimitris E. Simos

  • Moscow Aviation Institute (National Research University), Moscow, Russia

    Varvara A. Rasskazova

  • Università degli Studi di Milano-Bicocca, Milan, Italy

    Francesco Archetti

  • Wilfrid Laurier University, Waterloo, Canada

    Ilias S. Kotsireas

  • University of Florida, Gainesville, USA

    Panos M. Pardalos

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