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Genetic Programming

17th European Conference, EuroGP 2014, Granada, Spain, April 23-25, 2014, Revised Selected Papers

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Miguel Nicolau

    1. University College Dublin, UCD CASL, Dublin 4, Ireland

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  2. Krzysztof Krawiec

    1. Institute of Computing Science, Poznan University of Technology, Poznań, Poland

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  3. Malcolm I. Heywood

    1. Faculty of Computer Science, Dalhousie University, Halifax, Canada

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  4. Mauro Castelli

    1. Instituto Superior de Estatística e Gestão de Informaticão, Universidade Nova de Lisboa, Lisbon, Portugal

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  5. Pablo García-Sánchez

    1. Departamento de Arquitectura y Tecnología de Computadores (ETS), Universidad de Granada, Granada, Spain

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  6. Juan J. Merelo

    1. Departamento de Arquitectura y Tecnología de Computadores (ETS), Universidad de Granada, Granada, Spain

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  7. Victor M. Rivas Santos

    1. Departamento de Informática, Universidad de Jaén, Jaén, Spain

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  8. Kevin Sim

    1. Institute for Informatics and Digital Innovation, Edinburgh Napier University, Edinburgh, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8599)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: EuroGP 2014.

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Table of contents (20 papers)

  1. Front Matter

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  2. Oral Presentations

    1. Higher Order Functions for Kernel Regression

      • Alexandros Agapitos, James McDermott, Michael O’Neill, Ahmed Kattan, Anthony Brabazon
      Pages 1-12

    2. Flash: A GP-GPU Ensemble Learning System for Handling Large Datasets

      • Ignacio Arnaldo, Kalyan Veeramachaneni, Una-May O’Reilly
      Pages 13-24

    3. Learning Dynamical Systems Using Standard Symbolic Regression

      • Sébastien Gaucel, Maarten Keijzer, Evelyne Lutton, Alberto Tonda
      Pages 25-36

    4. Semantic Crossover Based on the Partial Derivative Error

      • Mario Graff, Ariel Graff-Guerrero, Jaime Cerda-Jacobo
      Pages 37-47

    5. A Multi-dimensional Genetic Programming Approach for Multi-class Classification Problems

      • Vijay Ingalalli, Sara Silva, Mauro Castelli, Leonardo Vanneschi
      Pages 48-60

    6. Generalisation Enhancement via Input Space Transformation: A GP Approach

      • Ahmed Kattan, Michael Kampouridis, Alexandros Agapitos
      Pages 61-74

    7. On Diversity, Teaming, and Hierarchical Policies: Observations from the Keepaway Soccer Task

      • Stephen Kelly, Malcolm I. Heywood
      Pages 75-86

    8. Genetically Improved CUDA C++ Software

      • William B. Langdon, Mark Harman
      Pages 87-99

    9. Measuring Mutation Operators’ Exploration-Exploitation Behaviour and Long-Term Biases

      • James McDermott
      Pages 100-111

    10. Exploring the Search Space of Hardware / Software Embedded Systems by Means of GP

      • Milos Minarik, Lukáš Sekanina
      Pages 112-123

    11. Enhancing Branch-and-Bound Algorithms for Order Acceptance and Scheduling with Genetic Programming

      • Su Nguyen, Mengjie Zhang, Mark Johnston
      Pages 124-136

    12. Using Genetic Improvement and Code Transplants to Specialise a C++ Program to a Problem Class

      • Justyna Petke, Mark Harman, William B. Langdon, Westley Weimer
      Pages 137-149

    13. ESAGP – A Semantic GP Framework Based on Alignment in the Error Space

      • Stefano Ruberto, Leonardo Vanneschi, Mauro Castelli, Sara Silva
      Pages 150-161

    14. Building a Stage 1 Computer Aided Detector for Breast Cancer Using Genetic Programming

      • Conor Ryan, Krzysztof Krawiec, Una-May O’Reilly, Jeannie Fitzgerald, David Medernach
      Pages 162-173

    15. NEAT, There’s No Bloat

      • Leonardo Trujillo, Luis Muñoz, Enrique Naredo, Yuliana Martínez
      Pages 174-185

  3. Posters

    1. The Best Things Don’t Always Come in Small Packages: Constant Creation in Grammatical Evolution

      • R. Muhammad Atif Azad, Conor Ryan
      Pages 186-197

    2. Asynchronous Evolution by Reference-Based Evaluation: Tertiary Parent Selection and Its Archive

      • Tomohiro Harada, Keiki Takadama
      Pages 198-209

    3. Behavioral Search Drivers for Genetic Programing

      • Krzysztof Krawiec, Una-May O’Reilly
      Pages 210-221

    4. Cartesian Genetic Programming: Why No Bloat?

      • Andrew James Turner, Julian Francis Miller
      Pages 222-233
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Other volumes

  1. Genetic Programming

Keywords

About this book

The book constitutes the refereed proceedings of the 17th European Conference on Genetic Programming, Euro GP 2014, held in Grenada, Spain, in April 2014 co-located with the Evo*2014 events, Evo BIO, Evo COP, Evo MUSART and Evo Applications.

The 15 revised full papers presented together with 5 poster papers were carefully reviewed and selected form 40 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 search-based software engineering, image analysis, dynamical systems, evolutionary robotics and operational research to the foundations of search as characterized through semantic variation operators.

Editors and Affiliations

  • University College Dublin, UCD CASL, Dublin 4, Ireland

    Miguel Nicolau

  • Institute of Computing Science, Poznan University of Technology, Poznań, Poland

    Krzysztof Krawiec

  • Faculty of Computer Science, Dalhousie University, Halifax, Canada

    Malcolm I. Heywood

  • Instituto Superior de Estatística e Gestão de Informaticão, Universidade Nova de Lisboa, Lisbon, Portugal

    Mauro Castelli

  • Departamento de Arquitectura y Tecnología de Computadores (ETS), Universidad de Granada, Granada, Spain

    Pablo García-Sánchez, Juan J. Merelo

  • Departamento de Informática, Universidad de Jaén, Jaén, Spain

    Victor M. Rivas Santos

  • Institute for Informatics and Digital Innovation, Edinburgh Napier University, Edinburgh, UK

    Kevin Sim

Bibliographic Information

  • Book Title: Genetic Programming

  • Book Subtitle: 17th European Conference, EuroGP 2014, Granada, Spain, April 23-25, 2014, Revised Selected Papers

  • Editors: Miguel Nicolau, Krzysztof Krawiec, Malcolm I. Heywood, Mauro Castelli, Pablo García-Sánchez, Juan J. Merelo, Victor M. Rivas Santos, … Kevin Sim

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-662-44303-3

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2014

  • Softcover ISBN: 978-3-662-44302-6Published: 28 August 2014

  • eBook ISBN: 978-3-662-44303-3Published: 21 August 2014

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XII, 247

  • Number of Illustrations: 78 b/w illustrations

  • Topics: Algorithm Analysis and Problem Complexity, Computation by Abstract Devices, Artificial Intelligence, Computer Applications

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