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Artificial Evolution

14th International Conference, Évolution Artificielle, EA 2019, Mulhouse, France, October 29–30, 2019, Revised Selected Papers

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Lhassane Idoumghar

    1. IRIMAS Institute, ENSISA, Mulhouse, France

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  2. Pierrick Legrand

    1. Inria Bordeaux Sud-Ouest, IMB, University of Bordeaux, Talence, France

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  3. Arnaud Liefooghe

    1. Research Center in Computer Science, Signal and Automatic Control of Lille, University of Lille, Villeneuve d'Ascq, France

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  4. Evelyne Lutton

    1. GMPA, INRA, Thiverval-Grignon, France

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  5. Nicolas Monmarché

    1. Laboratoire d'Informatique, University of Tours, Tours, France

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  6. Marc Schoenauer

    1. Inria Saclay, University of Paris-Sud, Orsay, France

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12052)

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

Included in the following conference series:

Conference proceedings info: EA 2019.

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Table of contents (16 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. From Feature Selection to Continuous Optimization

    • Hojjat Rakhshani, Lhassane Idoumghar, Julien Lepagnot, Mathieu Brévilliers
    Pages 1-12

  3. Evolving a Weighted Combination of Text Similarities for Authorship Attribution

    • Youssef Keyrouz, Cyril Fonlupt, Dany Mezher, Denis Robilliard, Rafic Faddoul
    Pages 13-27

  4. Image Signal Processor Parameter Tuning with Surrogate-Assisted Particle Swarm Optimization

    • Geoffrey Portelli, Denis Pallez
    Pages 28-41

  5. Combinatorial Surrogate-Assisted Optimization for Bus Stops Spacing Problem

    • Florian Leprêtre, Cyril Fonlupt, Sébastien Verel, Virginie Marion
    Pages 42-52

  6. Optimisation of a Checkers Player Using Neural and Metaheuristic Approaches

    • Ethan Bunce, Edward Keedwell
    Pages 53-67

  7. A Novel Outlook on Feature Selection as a Multi-objective Problem

    • Pietro Barbiero, Evelyne Lutton, Giovanni Squillero, Alberto Tonda
    Pages 68-81

  8. Fast Evolutionary Algorithm for Solving Large-Scale Multi-objective Problems

    • Anna Ouskova Leonteva, Pierre Parrend, Anne Jeannin-Girardon, Pierre Collet
    Pages 82-95

  9. Looking for Energy Efficient Genetic Algorithms

    • Francisco Fernández de Vega, Josefa Díaz, Juan Ángel García, Francisco Chávez, Jorge Alvarado
    Pages 96-109

  10. Evolving Fitness Landscapes with Complementary Fitness Functions

    • Vincent Hénaux, Adrien Goëffon, Frédéric Saubion
    Pages 110-120

  11. Bayesian Immigrant Diploid Genetic Algorithm for Dynamic Environments

    • Emrullah Gazioglu, A. Sima Etaner-Uyar
    Pages 121-135

  12. Ant Colony Optimization Algorithm for a Transportation Problem in Home Health Care with the Consideration of Carbon Emissions

    • Hongyuan Luo, Mahjoub Dridi, Olivier Grunder
    Pages 136-147

  13. Selective Vehicle Routing Problem: A Hybrid Genetic Algorithm Approach

    • Andrea Posada, Juan Carlos Rivera, Juan D. Palacio
    Pages 148-161

  14. Fixed Jobs Multi-agent Scheduling Problem with Renewable Resources

    • Boukhalfa Zahout, Ameur Soukhal, Patrick Martineau
    Pages 162-176

  15. A Study of Recombination Operators for the Cyclic Bandwidth Problem

    • Jintong Ren, Jin-Kao Hao, Eduardo Rodriguez-Tello
    Pages 177-191

  16. Automatic Calibration of a Farm Irrigation Model: A Multi-Modal Optimization Approach

    • Amaury Dubois, Fabien Teytaud, Eric Ramat, Sébastien Verel
    Pages 192-204

  17. A Hybrid Evolutionary Algorithm for Offline UAV Path Planning

    • Soheila Ghambari, Lhassane Idoumghar, Laetitia Jourdan, Julien Lepagnot
    Pages 205-218

  18. Back Matter

    Pages 219-219
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Other volumes

  1. Artificial Evolution

Keywords

About this book

This book constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Artificial Evolution, EA 2019, held in Mulhouse, France, in October 2019.

The 16 revised papers were carefully reviewed and selected from 33 submissions. The papers cover a wide range of topics in the field of artificial evolution, such as evolutionary computation, evolutionary optimization, co-evolution, artificial life, population dynamics, theory, algorithmic and modeling, implementations, application of evolutionary paradigms to the real world (industry, biosciences...), other biologically-inspired paradigms (swarm, artificial ants, artificial immune systems, cultural algorithms...), memetic algorithms, multi-objective optimization, constraint handling, parallel algorithms, dynamic optimization, machine learning and hybridization with other soft computing techniques.

Editors and Affiliations

  • IRIMAS Institute, ENSISA, Mulhouse, France

    Lhassane Idoumghar

  • Inria Bordeaux Sud-Ouest, IMB, University of Bordeaux, Talence, France

    Pierrick Legrand

  • Research Center in Computer Science, Signal and Automatic Control of Lille, University of Lille, Villeneuve d'Ascq, France

    Arnaud Liefooghe

  • GMPA, INRA, Thiverval-Grignon, France

    Evelyne Lutton

  • Laboratoire d'Informatique, University of Tours, Tours, France

    Nicolas Monmarché

  • Inria Saclay, University of Paris-Sud, Orsay, France

    Marc Schoenauer

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