Artificial Evolution

13th International Conference, Évolution Artificielle, EA 2017, Paris, France, October 25–27, 2017, Revised Selected Papers

  • Evelyne Lutton
  • Pierrick Legrand
  • Pierre Parrend
  • Nicolas Monmarché
  • Marc Schoenauer
Conference proceedings EA 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10764)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 10764)

Table of contents

  1. Front Matter
    Pages I-XVI
  2. Christopher Jankee, Sébastien Verel, Bilel Derbel, Cyril Fonlupt
    Pages 1-15
  3. Alberto Franzin, Thomas Stützle
    Pages 16-29
  4. Mathieu Muniglia, Sébastien Verel, Jean-Charles Le Pallec, Jean-Michel Do
    Pages 30-46
  5. Sara Tari, Matthieu Basseur, Adrien Goëffon
    Pages 47-57
  6. Stefan Forstenlechner, David Fagan, Miguel Nicolau, Michael O’Neill
    Pages 58-71
  7. Edgar Galván-López, Lucia Vázquez-Mendoza, Marc Schoenauer, Leonardo Trujillo
    Pages 72-87
  8. Julie D. Thompson, Renaud Vanhoutrève, Pierre Collet
    Pages 88-99
  9. Zainab Ali Abbood, Franck P. Vidal
    Pages 100-114
  10. Julien Lepagnot, Lhassane Idoumghar, Mathieu Brévilliers, Maha Idrissi-Aouad
    Pages 115-128
  11. Omar Abdelkafi, Lhassane Idoumghar, Julien Lepagnot
    Pages 129-143
  12. Martin Kretschmer, Elmar Langetepe
    Pages 162-175
  13. Xihe Gao, Jeremy Porter, Stephen Brooks, Dirk V. Arnold
    Pages 176-188
  14. Thomas Chabin, Marc Barnabé, Nadia Boukhelifa, Fernanda Fonseca, Alberto Tonda, Hélène Velly et al.
    Pages 189-201
  15. Leslie Pérez Cáceres, Federico Pagnozzi, Alberto Franzin, Thomas Stützle
    Pages 202-216
  16. William B. Yates, Edward C. Keedwell
    Pages 217-230
  17. Back Matter
    Pages 231-231

About these proceedings

Introduction

This book constitutes the thoroughly refereed post-conference proceedings of the 13th International Conference on Artificial Evolution, EA 2017, held in Paris, France, in October 2017.

 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, algorithmics 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 optimisation, constraint handling, parallel algorithms,, dynamic optimization, machine learning and hybridization with other soft computing techniques.


Keywords

artificial intelligence assignment problems combinatorial mathematics combinatorial optimization evolutionary algorithms genetic algorithms genetic programming heuristic methods image analysis learning algorithms meta heuristics problem solving quadratic assignment problems search algorithms search spaces simulated annealing tabu search traveling salesman problem

Editors and affiliations

  • Evelyne Lutton
    • 1
  • Pierrick Legrand
    • 2
  • Pierre Parrend
    • 3
  • Nicolas Monmarché
    • 4
  • Marc Schoenauer
    • 5
  1. 1.InriaThiverval-GrignonFrance
  2. 2.Inria BordeauxUniversity of BordeauxTalenceFrance
  3. 3.ECAM Strasbourg-EuropeSchiltigheimFrance
  4. 4.University of ToursToursFrance
  5. 5.Université Paris-SudOrsayFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-78133-4
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-78132-7
  • Online ISBN 978-3-319-78133-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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