Genetic Programming

1. Front Matter

   Pages I-XI

   PDF

2. Talks

   1. A Pipelined Hardware Implementation of Genetic Programming Using FPGAs and Handel-C

      • Peter Martin

      Pages 1-12

   2. Finding Needles in Haystacks Is Not Hard with Neutrality

      • Tina Yu, Julian Miller

      Pages 13-25

   3. Routine Duplication of Post-2000 Patented Inventions by Means of Genetic Programming

      • Matthew J. Streeter, Martin A. Keane, John R. Koza

      Pages 26-36

   4. Explicit Control of Diversity and Effective Variation Distance in Linear Genetic Programming

      • Markus Brameier, Wolfgang Banzhaf

      Pages 37-49

   5. Discovery of the Boolean Functions to the Best Density-Classification Rules Using Gene Expression Programming

      • Cândida Ferreira

      Pages 50-59

   6. Combining Decision Trees and Neural Networks for Drug Discovery

      • William B. Langdon, S. J. Barrett, B. F. Buxton

      Pages 60-70

   7. Evolving Fuzzy Decision Trees with Genetic Programming and Clustering

      • Jeroen Eggermont

      Pages 71-82

   8. Linear-Graph GP - A New GP Structure

      • Wolfgang Kantschik, Wolfgang Banzhaf

      Pages 83-92

   9. Parallel Surface Reconstruction

      • Klaus Weinert, Tobias Surmann, Jörn Mehnen

      Pages 93-102

   10. Evolving Classifiers to Model the Relationship between Strategy and Corporate Performance Using Grammatical Evolution

       • Anthony Brabazon, Michael O’Neill, Conor Ryan, Robin Matthews

       Pages 103-112

   11. A New View on Symbolic Regression

       • Klaus Weinert, Marc Stautner

       Pages 113-122

   12. Grammatical Evolution Rules: The Mod and the Bucket Rule

       • Maarten Keijzer, Michael O’Neill, Conor Ryan, Mike Cattolico

       Pages 123-130

   13. No Coercion and No Prohibition, a Position Independent Encoding Scheme for Evolutionary Algorithms – The Chorus System

       • Conor Ryan, Atif Azad, Alan Sheahan, Michael O’Neill

       Pages 131-141

   14. Exons and Code Growth in Genetic Programming

       • Terence Soule

       Pages 142-151

   15. Uniform Subtree Mutation

       • Terry Van Belle, Ackley David H.

       Pages 152-161

   16. Maintaining the Diversity of Genetic Programs

       • Anikó Ekárt, Németh Sandor Z.

       Pages 162-171

   17. N-Version Genetic Programming via Fault Masking

       • Kosuke Imamura, Heckendorn Robert B., Terence Soule, Foster James A.

       Pages 172-181

   18. An Analysis of Koza’s Computational Effort Statistic for Genetic Programming

       • Steffen Christensen, Franz Oppacher

       Pages 182-191

3. Posters

   1. Genetic Control Applied to Asset Managements

      • James Cunha Werner, Terence C. Fogarty

      Pages 192-201

Thisvolumerecordstheproceedingsofthe?fthEuropeanconferenceonGenetic Programming(EuroGP2002)whichtookplaceinKinsale,IrelandonApril3–5, 2002, continuing an established tradition of yearly meetings among the most prominent researchers on Genetic Programming in Europe and beyond; their proceedings have always been published in the LNCS series by Springer-Verlag. EuroGP began life in Paris in 1998 as an international workshop (April 14– 15, LNCS 1391); a second workshop took place in G¨ oteborg in 1999 (May 26– 27, LNCS 1598). Its ?rst appearance as a conference was in the year 2000 in Edinburgh (April 15–16, LNCS 1802), followed by last year’s conference held at Lake Como (April 18–19, LNCS 2038). Since the beginning, EuroGP has been co-located with a series of specialist workshops on applications of evolutionary algorithms (LNCS 1468, 1596, 1803, and 2037). In keeping with that tradition, the EvoWorkshops were also held in Kinsale this year at the same time (LNCS 2279). Genetic Programming (GP) is a branch of Evolutionary Computation in which populations of computer programs are made to evolve and adapt to so- ing a particular problem or task by a process that draws its inspiration from Biology and Darwinian evolution. GP is a very versatile technique, which has been applied to a wide range of tasks, as a quick inspection of the 32 papers in these proceedings will easily reveal: economics, robotics, engineering, statistics, pharmacology,electronics,and?nancearebutsomeofthedomainsinwhichthey havebeenemployed.AlthoughtherateofapplicationofGPtoproblemsisst- dily growing, this conference is characterized by its concern with the theoretical foundations of GP: investigation of these issues is attaining an ever increasing depth and maturity.

• Adaptive Systems
• Algorithms
• Evolutionary Computation
• Evolutionary Programming
• Evolvable Systems
• Genetic Algorithms
• Genetic Programming
• Gramatical Evolution
• Natural Computing
• Neural Computation
• Neural Networks
• Soft Computing
• algorithm
• programming
• algorithm analysis and problem complexity

• Department of Computer Science, University of Idaho, Moscow, USA

  James A. Foster

• INRIA Rocquencourt, Le Chesnay Cedex, France

  Evelyne Lutton

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

  Julian Miller

• Department of Computer Science and Information Systems, University of Limerick, Limerick, Ireland

  Conor Ryan

• Dip. Tecnologie dell’Informazione, Università degli Studi di Milano, Crema, Italy

  Andrea Tettamanzi

Policies and ethics