Genetic Programming

16th European Conference, EuroGP 2013, Vienna, Austria, April 3-5, 2013. Proceedings

  • Krzysztof Krawiec
  • Alberto Moraglio
  • Ting Hu
  • A. Şima Etaner-Uyar
  • Bin Hu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7831)

Table of contents

  1. Front Matter
  2. Oral Presentations

    1. Alexandros Agapitos, Michael O’Neill, Anthony Brabazon
      Pages 1-12
    2. John H. Drake, Nikolaos Kililis, Ender Özcan
      Pages 25-36
    3. David Fagan, Erik Hemberg, Michael O’Neill, Sean McGarraghy
      Pages 37-48
    4. Cyril Fonlupt, Denis Robilliard
      Pages 49-60
    5. Brian W. Goldman, William F. Punch
      Pages 61-72
    6. Ting Hu, Wolfgang Banzhaf, Jason H. Moore
      Pages 97-108
    7. Sweeney Luis, Marcus Vinicius dos Santos
      Pages 109-120
    8. José M. Luna, José Raúl Romero, Cristóbal Romero, Sebastián Ventura
      Pages 121-132
    9. James McDermott, Paula Carroll
      Pages 133-144
    10. Enrique Naredo, Leonardo Trujillo, Yuliana Martínez
      Pages 145-156
    11. Fernando E. B. Otero, Colin G. Johnson
      Pages 169-180
    12. Angelica Sandoval-Perez, David Becerra, Diana Vanegas, Daniel Restrepo-Montoya, Fernando Nino
      Pages 181-192
    13. Tom Seaton, Julian F. Miller, Tim Clarke
      Pages 193-204
    14. Leonardo Vanneschi, Mauro Castelli, Luca Manzoni, Sara Silva
      Pages 205-216
  3. Posters

    1. Alberto Cano, Amelia Zafra, Eva L. Gibaja, Sebastián Ventura
      Pages 217-228

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 16th European Conference on Genetic Programming, EuroGP 2013, held in Vienna, Austria, in April 2013 co-located with the Evo* 2013 events, EvoMUSART, EvoCOP, EvoBIO, and EvoApplications.
The 18 revised full papers presented together with 5 poster papers were carefully reviewed and selected from 47 submissions. The wide range of topics in this volume reflects the current state of research in the field, including different genres of GP (tree-based, linear, grammar-based, Cartesian), theory, novel operators, and applications.

Keywords

evolutionary algorithms machine learning multi-objective optimization scheduling problems semantic genetic programming

Editors and affiliations

  • Krzysztof Krawiec
    • 1
  • Alberto Moraglio
    • 2
  • Ting Hu
    • 3
  • A. Şima Etaner-Uyar
    • 4
  • Bin Hu
    • 5
  1. 1.Institute of Computing SciencePoznan University of TechnologyPoznańPoland
  2. 2.School of Computer ScienceThe University of BirminghamEdgbastonUK
  3. 3.Geisel School of MedicineDartmouth CollegeHanoverUSA
  4. 4.Department of Computer EngineeringIstanbul Technical UniversityMaslaTurkey
  5. 5.Institute of Computer Graphics and AlgorithmsVienna University of TechnologyViennaAustria

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-37207-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-37206-3
  • Online ISBN 978-3-642-37207-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book

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