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  • Conference proceedings
  • © 2020

Learning and Intelligent Optimization

14th International Conference, LION 14, Athens, Greece, May 24–28, 2020, Revised Selected Papers

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12096)

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

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

Conference proceedings info: LION 2020.

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Table of contents (38 papers)

  1. Front Matter

    Pages i-xiv
  2. Optimization for Urban Air Mobility

    • Youssef Hamadi
    Pages 1-8
  3. A Matheuristic Algorithm for Solving the Vehicle Routing Problem with Cross-Docking

    • Aldy Gunawan, Audrey Tedja Widjaja, Pieter Vansteenwegen, Vincent F. Yu
    Pages 9-15
  4. Physical Activity as a Risk Factor in the Progression of Osteoarthritis: A Machine Learning Perspective

    • Antonios Alexos, Serafeim Moustakidis, Christos Kokkotis, Dimitrios Tsaopoulos
    Pages 16-26
  5. Early Detection of Eating Disorders Through Machine Learning Techniques

    • Annabella Astorino, Rosa Berti, Alessandro Astorino, Vincent Bitonti, Manuel De Marco, Valentina Feraco et al.
    Pages 33-39
  6. Travel Times Equilibration Procedure for Route-Flow Traffic Assignment Problem

    • Alexander Krylatov, Anastasiya Raevskaya
    Pages 68-79
  7. confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms

    • Matthias Carnein, Heike Trautmann, Albert Bifet, Bernhard Pfahringer
    Pages 80-95
  8. Randomized Algorithms for Some Sequence Clustering Problems

    • Sergey Khamidullin, Vladimir Khandeev, Anna Panasenko
    Pages 96-101
  9. Least Squares K-SVCR Multi-class Classification

    • Hossein Moosaei, Milan Hladík
    Pages 117-127
  10. Active Learning Based Framework for Image Captioning Corpus Creation

    • Moustapha Cheikh, Mounir Zrigui
    Pages 128-142
  11. Reducing Space Search in Combinatorial Optimization Using Machine Learning Tools

    • Flavien Lucas, Romain Billot, Marc Sevaux, Kenneth Sörensen
    Pages 143-150
  12. Impact of the Discretization of VOCs for Cancer Prediction Using a Multi-Objective Algorithm

    • Sara Tari, Lucien Mousin, Julie Jacques, Marie-Eleonore Kessaci, Laetitia Jourdan
    Pages 151-157
  13. Two-Channel Conflict-Free Square Grid Aggregation

    • Adil Erzin, Roman Plotnikov
    Pages 168-183

Other Volumes

  1. Learning and Intelligent Optimization

About this book

This book constitutes the refereed post-conference proceedings on Learning and Intelligent Optimization, LION 14, held in Athens, Greece, in May 2020. 
The 37 full papers presented together with one invited paper have been carefully reviewed and selected from 75 submissions. LION deals with designing and engineering ways of "learning" about the performance of different techniques, and ways of using past experience about the algorithm behavior to improve performance in the future. Intelligent learning schemes for mining the knowledge obtained online or offline can improve the algorithm design process and simplify the applications of high-performance optimization methods. Combinations of different algorithms can further improve the robustness and performance of the individual components.

Due to the COVID-19 pandemic, LION 14 was not held as a physical meeting. 

Editors and Affiliations

  • CARGO Lab., Wilfrid Laurier University, Waterloo, Canada

    Ilias S. Kotsireas

  • Center for Applied Optimization, University of Florida, Gainesville, USA

    Panos M. Pardalos

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
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