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Genetic Programming

European Conference, EuroGP 2000 Edinburgh, Scotland, UK, April 15-16, 2000 Proceedings

  • Conference proceedings
  • © 2000

Overview

Editors:
  1. Riccardo Poli

    1. Department of Computing and Electronic Systems, University of Essex, Colchester, UK

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  2. Wolfgang Banzhaf

    1. Department of Computer Science, Memorial University of Newfoundland, Canada

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  3. William B. Langdon

    1. Departments of Mathematical, Biological Sciences and Computing and Electronic Systems, University of Essex, UK

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  4. Julian Miller

    1. School of Computer Science, The University of Birmingham, Edgbaston, Birmingham, UK

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  5. Peter Nordin

    1. Dept. of Physical Rescource Theory, Chalmers University of Technology, Göteborg, Sweden

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  6. Terence C. Fogarty

    1. School of Computing, Information Systems and Mathematics, South Bank University, London, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1802)

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Table of contents (27 papers)

  1. Front Matter

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  2. Talks

    1. On the Impact of the Representation on Fitness Landscapes

      • Paul Albuquerque, Bastien Chopard, Christian Mazza, Marco Tomassini
      Pages 1-15

    2. The Legion System: A Novel Approach to Evolving Heterogeneity for Collective Problem Solving

      • Josh C. Bongard
      Pages 16-28

    3. Metric Based Evolutionary Algorithms

      • Stefan Droste, Dirk Wiesmann
      Pages 29-43

    4. Register Based Genetic Programming on FPGA Computing Platforms

      • M. I. Heywood, A. N. Zincir-Heywood
      Pages 44-59

    5. An Extrinsic Function-Level Evolvable Hardware Approach

      • Tatiana Kalganova
      Pages 60-75

    6. Genetic Programming, Ensemble Methods and the Bias/Variance Tradeoff – Introductory Investigations

      • Maarten Keijzer, Vladan Babovic
      Pages 76-90

    7. Evolution of a Controller with a Free Variable Using Genetic Programming

      • John R. Koza, Jessen Yu, Martin A. Keane, William Mydlowec
      Pages 91-105

    8. Genetic Programming for Service Creation in Intelligent Networks

      • Peter Martin
      Pages 106-120

    9. Cartesian Genetic Programming

      • Julian F. Miller, Peter Thomson
      Pages 121-132

    10. Some Probabilistic Modelling Ideas for Boolean Classification in Genetic Programming

      • Jorge Muruzábal, Carlos Cotta-Porras, Amelia Fernández
      Pages 133-148

    11. Crossover in Grammatical Evolution: A Smooth Operator?

      • Michael O’Neill, Conor Ryan
      Pages 149-162

    12. Hyperschema Theory for GP with One-Point Crossover, Building Blocks, and Some New Results in GA Theory

      • Riccardo Poli
      Pages 163-180

    13. Use of Genetic Programming in the Identification of Rational Model Structures

      • Katya Rodríguez-Vázquez, Peter J. Fleming
      Pages 181-192

    14. Grammatical Retina Description with Enhanced Methods

      • Róbert Ványi, Gabriella Kókai, Zoltán Tóth, Tünde Petö
      Pages 193-208

  3. Posters

    1. Intraspecific Evolution of Learning by Genetic Programming

      • Yoshida Akira
      Pages 209-224

    2. An Evolutionary Approach to Multiperiod Asset Allocation

      • Stefania Baglioni, Célia da Costa Pereira, Dario Sorbello, Andrea G. B. Tettamanzi
      Pages 225-236

    3. Acquiring Textual Relations Automatically on the Web Using Genetic Programming

      • Agneta Bergström, Patricija Jaksetic, Peter Nordin
      Pages 237-246

    4. Application of Genetic Programming to Induction of Linear Classification Trees

      • Martijn C. J. Bot, William B. Langdon
      Pages 247-258

    5. A Metric for Genetic Programs and Fitness Sharing

      • Anikó Ekárt, S. Z. Németh
      Pages 259-270
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Keywords

About this book

This volume contains the proceedings of EuroGP 2000, the European Conf- ence on Genetic Programming, held in Edinburgh on the 15th and 16th April 2000. This event was the third in a series which started with the two European workshops: EuroGP’98, held in Paris in April 1998, and EuroGP’99, held in Gothenburg in May 1999. EuroGP 2000 was held in conjunction with EvoWo- shops 2000 (17th April) and ICES 2000 (17th-19th April). Genetic Programming (GP) is a growing branch of Evolutionary Compu- tion in which the structures in the population being evolved are computer p- grams. GP has been applied successfully to a large number of di?cult problems like automatic design, pattern recognition, robotic control, synthesis of neural networks, symbolic regression, music and picture generation, biomedical app- cations, etc. In recent years,even human-competitive results have been achieved by a number of groups. EuroGP 2000, the ?rst evolutionary computation conference of the new m- lennium, was the biggest event devoted to genetic programming to be held in Europe in 2000. It was a high quality conference where state-of-the-art work on the theory of GP and applications of GP to real world problems was presented.

Editors and Affiliations

  • Department of Computing and Electronic Systems, University of Essex, Colchester, UK

    Riccardo Poli

  • Department of Computer Science, Memorial University of Newfoundland, Canada

    Wolfgang Banzhaf

  • Departments of Mathematical, Biological Sciences and Computing and Electronic Systems, University of Essex, UK

    William B. Langdon

  • School of Computer Science, The University of Birmingham, Edgbaston, Birmingham, UK

    Julian Miller

  • Dept. of Physical Rescource Theory, Chalmers University of Technology, Göteborg, Sweden

    Peter Nordin

  • School of Computing, Information Systems and Mathematics, South Bank University, London, UK

    Terence C. Fogarty

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