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Metaheuristics

14th International Conference, MIC 2022, Syracuse, Italy, July 11–14, 2022, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Luca Di Gaspero

    1. University of Udine, Udine, Italy

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  2. Paola Festa

    1. University of Napoli - Federico II, Napoli, Italy

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  3. Amir Nakib

    1. University of Paris Est, Paris, France

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  4. Mario Pavone

    1. University of Catania, Catania, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13838)

Included in the following conference series:

Conference proceedings info: MIC 2022.

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Table of contents (49 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Application of CMSA to the Electric Vehicle Routing Problem with Time Windows, Simultaneous Pickup and Deliveries, and Partial Vehicle Charging

    • Mehmet Anıl Akbay, Can Berk Kalayci, Christian Blum
    Pages 1-16

  3. A BRKGA with Implicit Path-Relinking for the Vehicle Routing Problem with Occasional Drivers and Time Windows

    • Paola Festa, Francesca Guerriero, Mauricio G. C. Resende, Edoardo Scalzo
    Pages 17-29

  4. Metaheuristic Algorithms for UAV Trajectory Optimization in Mobile Networks

    • Valentina Cacchiani, Sara Ceschia, Silvia Mignardi, Chiara Buratti
    Pages 30-44

  5. New Neighborhood Strategies for the Bi-objective Vehicle Routing Problem with Time Windows

    • Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci
    Pages 45-60

  6. Tabu Search with Multiple Decision Levels for Solving Heterogeneous Fleet Pollution Routing Problem

    • Bryan F. Salcedo-Moncada, Daniel Morillo-Torres, Gustavo Gatica
    Pages 61-75

  7. A Learning Metaheuristic Algorithm for a Scheduling Application

    • Nazgol Niroumandrad, Nadia Lahrichi, Andrea Lodi
    Pages 76-87

  8. MineReduce-Based Metaheuristic for the Minimum Latency Problem

    • Marcelo Rodrigues de Holanda Maia, Ítalo Santana, Isabel Rosseti, Uéverton dos Santos Souza, Alexandre Plastino
    Pages 88-102

  9. Optimizing Multi-variable Time Series Forecasting Using Metaheuristics

    • Francesco Zito, Vincenzo Cutello, Mario Pavone
    Pages 103-117

  10. Unsupervised Machine Learning for the Quadratic Assignment Problem

    • Thé Van Luong, Éric D. Taillard
    Pages 118-132

  11. On Optimizing the Structure of Neural Networks Through a Compact Codification of Their Architecture

    • Marcos Lupión, N. C. Cruz, B. Paechter, P. M. Ortigosa
    Pages 133-142

  12. Neural Architecture Search Using Differential Evolution in MAML Framework for Few-Shot Classification Problems

    • Ayla Gülcü, Zeki Kuş
    Pages 143-157

  13. Neural Architecture Search Using Metaheuristics for Automated Cell Segmentation

    • Zeki Kuş, Musa Aydın, Berna Kiraz, Burhanettin Can
    Pages 158-171

  14. Analytical Methods to Separately Evaluate Convergence and Diversity for Multi-objective Optimization

    • Takato Kinoshita, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi
    Pages 172-186

  15. How a Different Ant Behavior Affects on the Performance of the Whole Colony

    • Carolina Crespi, Rocco A. Scollo, Georgia Fargetta, Mario Pavone
    Pages 187-199

  16. Evaluating the Effects of Chaos in Variable Neighbourhood Search

    • Sergio Consoli, José Andrés Moreno Pérez
    Pages 200-214Open Access

  17. Investigating Fractal Decomposition Based Algorithm on Low-Dimensional Continuous Optimization Problems

    • Arcadi Llanza, Nadiya Shvai, Amir Nakib
    Pages 215-229

  18. A Comparative Analysis of Different Multilevel Approaches for Community Detection

    • Guido Bordonaro, Rocco A. Scollo, Vincenzo Cutello, Mario Pavone
    Pages 230-245

  19. Tchebycheff Fractal Decomposition Algorithm for Bi-objective Optimization Problems

    • N. Aslimani, E-G. Talbi, R. Ellaia
    Pages 246-259

  20. Local Search for Integrated Predictive Maintenance and Scheduling in Flow-Shop

    • Andrea Ecoretti, Sara Ceschia, Andrea Schaerf
    Pages 260-273
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About this book

This book constitutes the refereed proceedings of the 14th International Conference on Metaheuristics, MIC 2022, held in Syracuse, Italy, in July 2022.

The 48 full papers together with 17 short papers presented were carefully reviewed and selected from 72 submissions. The papers detail metaheuristic techniques.

Chapter “Evaluating the Effects of Chaos in Variable Neighbourhood Search” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Editors and Affiliations

  • University of Udine, Udine, Italy

    Luca Di Gaspero

  • University of Napoli - Federico II, Napoli, Italy

    Paola Festa

  • University of Paris Est, Paris, France

    Amir Nakib

  • University of Catania, Catania, Italy

    Mario Pavone

Bibliographic Information

  • Book Title: Metaheuristics

  • Book Subtitle: 14th International Conference, MIC 2022, Syracuse, Italy, July 11–14, 2022, Proceedings

  • Editors: Luca Di Gaspero, Paola Festa, Amir Nakib, Mario Pavone

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-26504-4

  • 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: 978-3-031-26503-7Published: 23 February 2023

  • eBook ISBN: 978-3-031-26504-4Published: 22 February 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIV, 571

  • Number of Illustrations: 32 b/w illustrations, 102 illustrations in colour

  • Topics: Theory of Computation, Computational Mathematics and Numerical Analysis, Artificial Intelligence, Computer Applications

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