© 2020

Artificial Evolution

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

  • Lhassane Idoumghar
  • Pierrick Legrand
  • Arnaud Liefooghe
  • Evelyne Lutton
  • Nicolas Monmarché
  • Marc Schoenauer
Conference proceedings EA 2019

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

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 12052)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Hojjat Rakhshani, Lhassane Idoumghar, Julien Lepagnot, Mathieu Brévilliers
    Pages 1-12
  3. Youssef Keyrouz, Cyril Fonlupt, Dany Mezher, Denis Robilliard, Rafic Faddoul
    Pages 13-27
  4. Florian Leprêtre, Cyril Fonlupt, Sébastien Verel, Virginie Marion
    Pages 42-52
  5. Pietro Barbiero, Evelyne Lutton, Giovanni Squillero, Alberto Tonda
    Pages 68-81
  6. Anna Ouskova Leonteva, Pierre Parrend, Anne Jeannin-Girardon, Pierre Collet
    Pages 82-95
  7. Francisco Fernández de Vega, Josefa Díaz, Juan Ángel García, Francisco Chávez, Jorge Alvarado
    Pages 96-109
  8. Vincent Hénaux, Adrien Goëffon, Frédéric Saubion
    Pages 110-120
  9. Emrullah Gazioglu, A. Sima Etaner-Uyar
    Pages 121-135
  10. Andrea Posada, Juan Carlos Rivera, Juan D. Palacio
    Pages 148-161
  11. Boukhalfa Zahout, Ameur Soukhal, Patrick Martineau
    Pages 162-176
  12. Jintong Ren, Jin-Kao Hao, Eduardo Rodriguez-Tello
    Pages 177-191
  13. Amaury Dubois, Fabien Teytaud, Eric Ramat, Sébastien Verel
    Pages 192-204
  14. Soheila Ghambari, Lhassane Idoumghar, Laetitia Jourdan, Julien Lepagnot
    Pages 205-218
  15. Back Matter
    Pages 219-219

About these proceedings


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.


artificial intelligence bandwidth combinatorial optimization computer hardware computer networks computer systems correlation analysis evolutionary algorithms genetic algorithms network protocols optimization problems particle swarm optimization (pso) sensors signal processing swarm intelligence telecommunication networks telecommunication systems telecommunication traffic

Editors and affiliations

  • Lhassane Idoumghar
    • 1
  • Pierrick Legrand
    • 2
  • Arnaud Liefooghe
    • 3
  • Evelyne Lutton
    • 4
  • Nicolas Monmarché
    • 5
  • Marc Schoenauer
    • 6
  1. 1.IRIMAS InstituteENSISAMulhouseFrance
  2. 2.Inria Bordeaux Sud-Ouest, IMBUniversity of BordeauxTalenceFrance
  3. 3.Research Center in Computer Science, Signal and Automatic Control of LilleUniversity of LilleVilleneuve d'AscqFrance
  4. 4.GMPAINRAThiverval-GrignonFrance
  5. 5.Laboratoire d'InformatiqueUniversity of ToursToursFrance
  6. 6.Inria SaclayUniversity of Paris-SudOrsayFrance

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