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Genetic Programming

12th European Conference, EuroGP 2009 Tübingen, Germany, April, 15-17, 2009 Proceedings

  • Conference proceedings
  • © 2009

Overview

Editors:
  1. Leonardo Vanneschi

    1. Department of Informatics, Systems and Communication (D.I.S.Co.), University of Milano-Bicocca, Milano, Italy

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  2. Steven Gustafson

    1. GE Global Research, Niskayuna, USA

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  3. Alberto Moraglio

    1. Department of Computer Engineering, University of Coimbra, Coimbra, Portugal

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  4. Ivanoe Falco

    1. Institute of High Performance Computing and Networking, National Research Council of Italy (ICAR - CNR), Napoli, Italy

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  5. Marc Ebner

    1. Wilhelm Schickard Institut für Informatik, Eberhard Karls Universität Tübingen, Tübingen, Germany

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5481)

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

Included in the following conference series:

Conference proceedings info: EuroGP 2009.

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Table of contents (30 papers)

  1. Front Matter

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  2. Oral Presentations

    1. One-Class Genetic Programming

      • Robert Curry, Malcolm I. Heywood
      Pages 1-12

    2. Genetic Programming Based Approach for Synchronization with Parameter Mismatches in EEG

      • Dilip P. Ahalpara, Siddharth Arora, M. S. Santhanam
      Pages 13-24

    3. Memory with Memory in Tree-Based Genetic Programming

      • Riccardo Poli, Nicholas F. McPhee, Luca Citi, Ellery Crane
      Pages 25-36

    4. On Dynamical Genetic Programming: Random Boolean Networks in Learning Classifier Systems

      • Larry Bull, Richard Preen
      Pages 37-48

    5. Why Coevolution Doesn’t “Work”: Superiority and Progress in Coevolution

      • Thomas Miconi
      Pages 49-60

    6. On Improving Generalisation in Genetic Programming

      • Dan Costelloe, Conor Ryan
      Pages 61-72

    7. Mining Evolving Learning Algorithms

      • András Joó
      Pages 73-84

    8. The Role of Population Size in Rate of Evolution in Genetic Programming

      • Ting Hu, Wolfgang Banzhaf
      Pages 85-96

    9. Genetic Programming Crossover: Does It Cross over?

      • Colin G. Johnson
      Pages 97-108

    10. Evolution of Search Algorithms Using Graph Structured Program Evolution

      • Shinichi Shirakawa, Tomoharu Nagao
      Pages 109-120

    11. Genetic Programming for Feature Subset Ranking in Binary Classification Problems

      • Kourosh Neshatian, Mengjie Zhang
      Pages 121-132

    12. Self Modifying Cartesian Genetic Programming: Fibonacci, Squares, Regression and Summing

      • Simon Harding, Julian F. Miller, Wolfgang Banzhaf
      Pages 133-144

    13. Automatic Creation of Taxonomies of Genetic Programming Systems

      • Mario Graff, Riccardo Poli
      Pages 145-158

    14. Extending Operator Equalisation: Fitness Based Self Adaptive Length Distribution for Bloat Free GP

      • Sara Silva, Stephen Dignum
      Pages 159-170

    15. Modeling Social Heterogeneity with Genetic Programming in an Artificial Double Auction Market

      • Shu-Heng Chen, Chung-Ching Tai
      Pages 171-182

    16. Exploring Grammatical Evolution for Horse Gait Optimisation

      • James E. Murphy, Michael O’Neill, Hamish Carr
      Pages 183-194

    17. There Is a Free Lunch for Hyper-Heuristics, Genetic Programming and Computer Scientists

      • Riccardo Poli, Mario Graff
      Pages 195-207

    18. Tree Based Differential Evolution

      • Christian B. Veenhuis
      Pages 208-219

    19. A Rigorous Evaluation of Crossover and Mutation in Genetic Programming

      • David R. White, Simon Poulding
      Pages 220-231
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Other volumes

  1. Genetic Programming

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About this book

This book constitutes the refereed proceedings of the 11th European Conference on Genetic Programming, EuroGP 2009, held in Tübingen, Germany, in April 2009 colocated with the Evo* 2009 events. The 21 revised plenary papers and 9 revised poster papers were carefully reviewed and selected from a total of 57 submissions. A great variety of topics are presented reflecting the current state of research in the field of genetic programming, including the latest work on representations, theory, operators and analysis, feature selection, generalisation, coevolution and numerous applications.

Editors and Affiliations

  • Department of Informatics, Systems and Communication (D.I.S.Co.), University of Milano-Bicocca, Milano, Italy

    Leonardo Vanneschi

  • GE Global Research, Niskayuna, USA

    Steven Gustafson

  • Department of Computer Engineering, University of Coimbra, Coimbra, Portugal

    Alberto Moraglio

  • Institute of High Performance Computing and Networking, National Research Council of Italy (ICAR - CNR), Napoli, Italy

    Ivanoe Falco

  • Wilhelm Schickard Institut für Informatik, Eberhard Karls Universität Tübingen, Tübingen, Germany

    Marc Ebner

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