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European Conference on Genetic Programming

EuroGP 2005: Genetic Programming pp 190–202Cite as

Repeated Patterns in Tree Genetic Programming

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3447))

Abstract

We extend our analysis of repetitive patterns found in genetic programming genomes to tree based GP.

As in linear GP, repetitive patterns are present in large numbers. Size fair crossover limits bloat in automatic programming, preventing the evolution of recurring motifs. We examine these complex properties in detail: e.g. using depth v. size Catalan binary tree shape plots, subgraph and subtree matching, information entropy, syntactic and semantic fitness correlations and diffuse introns. We relate this emergent phenomenon to considerations about building blocks in GP and how GP works.

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Author information

Authors and Affiliations

  1. Computer Science, University of Essex, UK

    W. B. Langdon

  2. Computer Science, Memorial University of Newfoundland, Canada

    W. Banzhaf

Authors
  1. W. B. Langdon
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  2. W. Banzhaf
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Editor information

Editors and Affiliations

  1. No Affiliation,  

    Maarten Keijzer

  2. Dipartimento di Tecnologie dell’Informazione, Università di Milano Crema,  

    Andrea Tettamanzi

  3. Université Louis Pasteur, LSIIT, FDBT, Pôle API, F-67400, Illkirch, France

    Pierre Collet

  4. National e-Science Centre, University of Edinburgh, United Kingdom

    Jano van Hemert

  5. Institut des Systèmes d’Information (ISI), Université de Lausanne, Hautes Etudes Commerciales (HEC),  

    Marco Tomassini

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© 2005 Springer-Verlag Berlin Heidelberg

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Langdon, W.B., Banzhaf, W. (2005). Repeated Patterns in Tree Genetic Programming. In: Keijzer, M., Tettamanzi, A., Collet, P., van Hemert, J., Tomassini, M. (eds) Genetic Programming. EuroGP 2005. Lecture Notes in Computer Science, vol 3447. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31989-4_17

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  • DOI: https://doi.org/10.1007/978-3-540-31989-4_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25436-2

  • Online ISBN: 978-3-540-31989-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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