Artificial Evolution

8th International Conference, Evolution Artificielle, EA 2007, Tours, France, October 29-31, 2007, Revised Selected Papers

  • Editors
  • Nicolas Monmarché
  • El-Ghazali Talbi
  • Pierre Collet
  • Marc Schoenauer
  • Evelyne Lutton
Conference proceedings EA 2007
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4926)

Table of contents

  1. Front Matter
  2. Genetic Programming

    1. Luis Da Costa, Jacques-André Landry, Yan Levasseur
      Pages 1-12
    2. Robert E. Keller, Riccardo Poli
      Pages 13-24
  3. Swarm Intelligence

  4. Combinational and Multi-objective Optimization

    1. Jean-Charles Créput, Abderrafiaâ Koukam
      Pages 100-111
    2. Tim Hohm, Matthias Egli, Samuel Gaehwiler, Stefan Bleuler, Jonathan Feller, Damian Frick et al.
      Pages 112-123
    3. Daniel Cosmin Porumbel, Jin-Kao Hao, Pascale Kuntz
      Pages 124-135
    4. Cédric Pessan, Jean-Louis Bouquard, Emmanuel Néron
      Pages 136-147
    5. Windo Hutabarat, Geoffrey T. Parks, Jerome P. Jarrett, William N. Dawes, P. John Clarkson
      Pages 148-159
  5. Theory in GA and ES

    1. Gabriela Ochoa, Evelyne Lutton, Edmund Burke
      Pages 184-195
    2. Mohamed Jebalia, Anne Auger, Pierre Liardet
      Pages 207-218
  6. Applications of EAs

    1. Riccardo Fanciulli, Lars Willmes, Janne Savolainen, Peter van der Walle, Thomas Bäck, Jennifer L. Herek
      Pages 219-230

About these proceedings

Introduction

This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Conference on Artificial Evolution, EA 2007, held in Tours, France in October 2007.

The 27 revised full papers presented were carefully reviewed and selected from 62 submissions during two rounds of reviewing and improvement. The papers cover all aspects of artificial evolution: genetic programming, swarm intelligence, combinatorial and multi-objective optimization, theory in genetic algorithms and evolutionary systems, as well as applications of evolutionary algorithms.

Keywords

Algorithms algorithm evolutionary algorithm genetic algorithms genetic programming optimization programming

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-79305-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-79304-5
  • Online ISBN 978-3-540-79305-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349