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Variable Neighborhood Search

9th International Conference, ICVNS 2022, Abu Dhabi, United Arab Emirates, October 25–28, 2022, Revised Selected Papers

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Andrei Sleptchenko

    1. Khalifa University, Abu Dhabi, United Arab Emirates

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    You can also search for this editor in PubMed   Google Scholar

  2. Angelo Sifaleras

    1. University of Macedonia, Thessaloniki, Greece

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    You can also search for this editor in PubMed   Google Scholar

  3. Pierre Hansen

    1. HEC Montréal, Montréal, Canada

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13863)

Included in the following conference series:

Conference proceedings info: ICVNS 2022.

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Table of contents (11 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. A Metaheuristic Approach for Solving Monitor Placement Problem

    • Alejandra Casado, Nenad Mladenović, Jesús Sánchez-Oro, Abraham Duarte
    Pages 1-13

  3. A VNS-Based Heuristic for the Minimum Number of Resources Under a Perfect Schedule

    • Rachid Benmansour
    Pages 14-26

  4. BVNS for Overlapping Community Detection

    • Sergio Pérez-Peló, Jesús Sánchez-Oro, Antonio González-Pardo, Abraham Duarte
    Pages 27-41

  5. A Simulation-Based Variable Neighborhood Search Approach for Optimizing Cross-Training Policies

    • Moustafa Abdelwanis, Nenad Mladenovic, Andrei Sleptchenko
    Pages 42-57

  6. Multi-objective Variable Neighborhood Search for Improving Software Modularity

    • Javier Yuste, Eduardo G. Pardo, Abraham Duarte
    Pages 58-68

  7. An Effective VNS for Delivery Districting

    • Ahmed Aly, Adriana F. Gabor, Nenad Mladenovic
    Pages 69-81

  8. BVNS for the Minimum Sitting Arrangement Problem in a Cycle

    • Marcos Robles, Sergio Cavero, Eduardo G. Pardo
    Pages 82-96

  9. Assigning Multi-skill Configurations to Multiple Servers with a Reduced VNS

    • Thiago Alves de Queiroz, Beatrice Bolsi, Vinícius Loti de Lima, Manuel Iori, Arthur Kramer
    Pages 97-111

  10. Multi-Round Influence Maximization: A Variable Neighborhood Search Approach

    • Isaac Lozano-Osorio, Jesús Sánchez-Oro, Abraham Duarte
    Pages 112-124

  11. A VNS Based Heuristic for a 2D Open Dimension Problem

    • Layane Rodrigues de Souza Queiroz, Thiago Alves de Queiroz
    Pages 125-136

  12. A Basic Variable Neighborhood Search Approach for the Bi-objective Multi-row Equal Facility Layout Problem

    • Nicolás R. Uribe, Alberto Herrán, J. Manuel Colmenar
    Pages 137-147

  13. Back Matter

    Pages 149-149
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  1. Variable Neighborhood Search

Keywords

About this book

This volume constitutes the proceedings of the 9th International Conference on Variable Neighborhood Search, ICVNS 2023, held in Abu Dhabi, United Arab Emirates, in October 2022.

The 11 full papers presented in this volume were carefully reviewed and selected from 29 submissions. The papers describe recent advances in methods and applications of variable neighborhood search.

Editors and Affiliations

  • Khalifa University, Abu Dhabi, United Arab Emirates

    Andrei Sleptchenko

  • University of Macedonia, Thessaloniki, Greece

    Angelo Sifaleras

  • HEC Montréal, Montréal, Canada

    Pierre Hansen

Bibliographic Information

  • Book Title: Variable Neighborhood Search

  • Book Subtitle: 9th International Conference, ICVNS 2022, Abu Dhabi, United Arab Emirates, October 25–28, 2022, Revised Selected Papers

  • Editors: Andrei Sleptchenko, Angelo Sifaleras, Pierre Hansen

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-34500-5

  • 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: 978-3-031-34499-2Published: 29 May 2023

  • eBook ISBN: 978-3-031-34500-5Published: 28 May 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 149

  • Number of Illustrations: 12 b/w illustrations, 21 illustrations in colour

  • Topics: Mathematics of Computing, Discrete Mathematics in Computer Science, Algorithm Analysis and Problem Complexity

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