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Artificial Evolution

15th International Conference, Évolution Artificielle, EA 2022, Exeter, UK, October 31 – November 2, 2022, Revised Selected Papers

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Pierrick Legrand

    1. University of Bordeaux, Talence, France

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  2. Arnaud Liefooghe

    1. University of Lille, Lille, France

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  3. Edward Keedwell

    1. University of Exeter, Exeter, UK

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  4. Julien Lepagnot

    1. Université de Haute-Alsace, Mulhouse, France

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  5. Lhassane Idoumghar

    1. Université de Haute Alsace, Mulhouse, France

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  6. Nicolas Monmarché

    1. Ecole Polytechnique de Université de Tours, Tours, France

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  7. Evelyne Lutton

    1. INRA, Thirverval-Grignon, France

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14091)

Included in the following conference series:

Conference proceedings info: EA 2022.

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About this book

This book constitutes the refereed post-conference proceedings of the 15th International Conference, Évolution Artificielle, EA 2022, held in Exeter, UK, during October 31–November 2, 2022.

The 15 full papers were carefully reviewed and selected from 18 submissions. The papers cover a wide range of topics in the field of artificial evolution, including, but not limited to: evolutionary computation, evolutionary optimization, coevolution, artificial life, population dynamics, theory, algorithmic and modeling, implementations.


Keywords

Table of contents (15 papers)

  1. Front Matter

    Pages i-xx
    Download chapter PDF

  2. On the Active Use of an ND-Tree-Based Archive for Multi-Objective Optimisation

    • Jonathan E. Fieldsend
    Pages 1-14

  3. HyTEA: Hybrid Tree Evolutionary Algorithm

    • Francisco Miranda, Evgheni Polisciuc, Nuno Lourenço
    Pages 15-28

  4. A Game Theoretic Decision Tree for Binary Classification

    • Rodica Ioana Lung, Mihai-Alexandru Suciu
    Pages 29-41

  5. Evaluating a New Genetic Algorithm for Automated Machine Learning in Positive-Unlabelled Learning

    • Jack D. Saunders, Alex A. Freitas
    Pages 42-57

  6. Neural Network-Based Virtual Analog Modeling

    • Tara Vanhatalo, Pierrick Legrand, Myriam Desainte-Catherine, Pierre Hanna, Antoine Brusco, Guillaume Pille et al.
    Pages 58-72

  7. Defining a Quality Measure Within Crossover: An Electric Bus Scheduling Case Study

    • Darren M. Chitty, Ed Keedwell
    Pages 73-88

  8. Maximizing the Number of Satisfied Charging Demands in Electric Vehicle Charging Scheduling Problem

    • Imene Zaidi, Ammar Oulamara, Lhassane Idoumghar, Michel Basset
    Pages 89-102

  9. Fine-Grained Cooperative Coevolution in a Single Population: Between Evolution and Swarm Intelligence

    • É. Lutton, S. Al-Maliki, J. Louchet, A. Tonda, F. P. Vidal
    Pages 103-117

  10. One-Class Ant-Miner: Selection of Majority Class Rules for Binary Rule-Based Classification

    • Naser Ghannad, Roland de Guio, Pierre Parrend
    Pages 118-132

  11. Towards a Many-Objective Optimiser for University Course Timetabling

    • James Sakal, Jonathan Fieldsend, Edward Keedwell
    Pages 133-144

  12. Empirical Investigation of MOEAs for Multi-objective Design of Experiments

    • Alexander Evans, Tinkle Chugh
    Pages 145-158

  13. Evolutionary Continuous Optimization of Hybrid Gene Regulatory Networks

    • Romain Michelucci, Jean-Paul Comet, Denis Pallez
    Pages 159-172

  14. Designing Attention Based Convolutional Neural Network (CNN) Architectures for Medical Image Classification Using Genetic Algorithm Based on Variable Length-Encoding Scheme

    • Muhammad Junaid Ali, Laurent Moalic, Mokhtar Essaid, Lhassane Idoumghar
    Pages 173-186

  15. A Multi-objective 3D Offline UAV Path Planning Problem with Variable Flying Altitude

    • Mahmoud Golabi, Soheila Ghambari, Shilan Amir Ashayeri, Laetitia Jourdan, Lhassane Idoumghar
    Pages 187-200

  16. An Elitist Non-dominated Heuristic Resolution for the Dynamic Asset Protection Problem

    • Quentin Peña, Aziz Moukrim, Mehdi Serairi
    Pages 201-214

  17. Back Matter

    Pages 215-215
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Other volumes

  1. Artificial Evolution

Editors and Affiliations

  • University of Bordeaux, Talence, France

    Pierrick Legrand

  • University of Lille, Lille, France

    Arnaud Liefooghe

  • University of Exeter, Exeter, UK

    Edward Keedwell

  • Université de Haute-Alsace, Mulhouse, France

    Julien Lepagnot

  • Université de Haute Alsace, Mulhouse, France

    Lhassane Idoumghar

  • Ecole Polytechnique de Université de Tours, Tours, France

    Nicolas Monmarché

  • INRA, Thirverval-Grignon, France

    Evelyne Lutton

Bibliographic Information

  • Book Title: Artificial Evolution

  • Book Subtitle: 15th International Conference, Évolution Artificielle, EA 2022, Exeter, UK, October 31 – November 2, 2022, Revised Selected Papers

  • Editors: Pierrick Legrand, Arnaud Liefooghe, Edward Keedwell, Julien Lepagnot, Lhassane Idoumghar, Nicolas Monmarché, Evelyne Lutton

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-42616-2

  • 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: 978-3-031-42615-5Published: 01 September 2023

  • eBook ISBN: 978-3-031-42616-2Published: 31 August 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XX, 215

  • Number of Illustrations: 30 b/w illustrations, 30 illustrations in colour

  • Topics: Artificial Intelligence, Algorithms, Numerical Analysis, Computer Communication Networks, Computer Systems Organization and Communication Networks

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