Genetic Programming

19th European Conference, EuroGP 2016, Porto, Portugal, March 30 - April 1, 2016, Proceedings

  • Malcolm I. Heywood
  • James McDermott
  • Mauro Castelli
  • Ernesto Costa
  • Kevin Sim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9594)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Full Presentations

    1. Front Matter
      Pages 1-1
    2. Petr Dvoracek, Lukas Sekanina
      Pages 19-34
    3. Sara Khanchi, Malcolm I. Heywood, Nur Zincir-Heywood
      Pages 35-50
    4. Paweł Liskowski, Krzysztof Krawiec
      Pages 68-82
    5. David Lynch, Michael Fenton, Stepan Kucera, Holger Claussen, Michael O’Neill
      Pages 83-98
    6. John Park, Yi Mei, Su Nguyen, Gang Chen, Mark Johnston, Mengjie Zhang
      Pages 115-132
    7. Cao Truong Tran, Mengjie Zhang, Peter Andreae
      Pages 149-163
    8. Michal Wiglasz, Michaela Drahosova
      Pages 164-179
  3. Short Presentations

    1. Front Matter
      Pages 181-181
    2. Benjamin Aziz, Mohamed Bader, Cerana Hippolyte
      Pages 183-198
    3. Stefan Forstenlechner, Miguel Nicolau, David Fagan, Michael O’Neill
      Pages 199-214
    4. Benjamin Fowler, Wolfgang Banzhaf
      Pages 215-229
    5. Nicolás Gálvez Ramírez, Youssef Hamadi, Eric Monfroy, Frédéric Saubion
      Pages 230-245
    6. Tomasz P. Pawlak, Krzysztof Krawiec
      Pages 261-277

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 19th European Conference on Genetic Programming, EuroGP 2016, held in Porto, Portugal, in March/April 2016 co-located with the Evo*2016 events: EvoCOP, EvoMUSART, and EvoApplications.

The 11 revised full papers presented together with 8 poster papers were carefully reviewed and selected from 36 submissions. The wide range of topics in this volume reflects the current state of research in the field. Thus, we see topics as diverse as semantic methods, recursive programs, grammatical methods, coevolution, Cartesian GP, feature selection, metaheuristics, evolvability, and fitness predictors; and applications including image processing, one-class classification, SQL injection attacks, numerical modelling, streaming data classification, creation and optimisation of circuits, multi-class classification, scheduling in manufacturing and wireless networks.

Keywords

automatic programming benchmarking machine learning optimization recommender systems artificial intelligence cartesian genetic programming circuit design evolutionary computation evolvability genetic programming grammatical methods heuristic methods image classification meta-learning numerical modeling runtime analysis scheduling search methods software engineering

Editors and affiliations

  • Malcolm I. Heywood
    • 1
  • James McDermott
    • 2
  • Mauro Castelli
    • 3
  • Ernesto Costa
    • 4
  • Kevin Sim
    • 5
  1. 1.Dalhousie UniversityHalifaxCanada
  2. 2.University College DublinDublinIreland
  3. 3.Universidade Nova de LisboaLisboaPortugal
  4. 4.CIUSC Dept Informatics EnggUniversity of CoimbraCoimbraPortugal
  5. 5.Edinburgh Napier UniversityEdinburghUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-30668-1
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-30667-4
  • Online ISBN 978-3-319-30668-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book