Skip to main content
SpringerLink
Log in
Book cover

Learning and Intelligent Optimization

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

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Ilias S. Kotsireas

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Panos M. Pardalos

    1. Center for Applied Optimization, University of Florida, Gainesville, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

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)

Included in the following conference series:

Conference proceedings info: LION 2020.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
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

Licence this eBook for your library

Institutional subscriptions

Table of contents (38 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  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. QPTAS for the CVRP with a Moderate Number of Routes in a Metric Space of Any Fixed Doubling Dimension

    • Michael Khachay, Yuri Ogorodnikov
    Pages 27-32

  6. 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

  7. On Finding Minimum Cardinality Subset of Vectors with a Constraint on the Sum of Squared Euclidean Pairwise Distances

    • Anton V. Eremeev, Mikhail Y. Kovalyov, Artem V. Pyatkin
    Pages 40-45

  8. Practical Approximation Algorithms for Stabbing Special Families of Line Segments with Equal Disks

    • Konstantin Kobylkin, Irina Dryakhlova
    Pages 46-51

  9. A Class of Linear Programs Solvable by Coordinate-Wise Minimization

    • Tomáš Dlask, Tomáš Werner
    Pages 52-67

  10. Travel Times Equilibration Procedure for Route-Flow Traffic Assignment Problem

    • Alexander Krylatov, Anastasiya Raevskaya
    Pages 68-79

  11. confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms

    • Matthias Carnein, Heike Trautmann, Albert Bifet, Bernhard Pfahringer
    Pages 80-95

  12. Randomized Algorithms for Some Sequence Clustering Problems

    • Sergey Khamidullin, Vladimir Khandeev, Anna Panasenko
    Pages 96-101

  13. Hyper-parameterized Dialectic Search for Non-linear Box-Constrained Optimization with Heterogenous Variable Types

    • Meinolf Sellmann, Kevin Tierney
    Pages 102-116

  14. Least Squares K-SVCR Multi-class Classification

    • Hossein Moosaei, Milan Hladík
    Pages 117-127

  15. Active Learning Based Framework for Image Captioning Corpus Creation

    • Moustapha Cheikh, Mounir Zrigui
    Pages 128-142

  16. Reducing Space Search in Combinatorial Optimization Using Machine Learning Tools

    • Flavien Lucas, Romain Billot, Marc Sevaux, Kenneth Sörensen
    Pages 143-150

  17. 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

  18. AUGMECON2 Method for a Bi-objective U-Shaped Assembly Line Balancing Problem

    • Ömer Faruk Yılmaz
    Pages 158-167

  19. Two-Channel Conflict-Free Square Grid Aggregation

    • Adil Erzin, Roman Plotnikov
    Pages 168-183

  20. Online Stacking Using RL with Positional and Tactical Features

    • Martin Olsen
    Pages 184-194
Back to top

Other volumes

  1. Learning and Intelligent Optimization

Keywords

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

Publish with us

Policies and ethics

Back to top

Search

Navigation