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European Conference on Genetic Programming

EuroGP 2010: Genetic Programming pp 98–109Cite as

Phenotypic Diversity in Initial Genetic Programming Populations

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6021))

Abstract

A key factor in the success or otherwise of a genetic programming population in evolving towards a solution is the extent of diversity amongst its members. Diversity may be viewed in genotypic (structural) or in phenotypic (behavioural) terms, but the latter has received less attention. We propose a method for measuring phenotypic diversity in terms of the run-time behaviour of programs. We describe how this is applicable to a range of problem domains and show how the promotion of such diversity in initial genetic programming populations can have a substantial impact on solution-finding performance.

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, University of Liverpool, Liverpool, L69 3BX, United Kingdom

    David Jackson

Authors
  1. David Jackson
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Editor information

Editors and Affiliations

  1. Instituto Tecnologico de Informatica, Universidad Politecnica de Valencia, Camino de Vera s/n, 46022, Valencia, Spain

    Anna Isabel Esparcia-Alcázar

  2. Computer Science, Aston Triangle, Aston University, B4 7ET, Birmingham, UK

    Anikó Ekárt

  3. INESC-ID Lisboa, Rua Alves Redol 9, 1000-029, Lisboa, Portugal

    Sara Silva

  4. School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, CO4 3SQ, Colchester, UK

    Stephen Dignum

  5. Computer Engineering Department, Istanbul Technical University, Room Nr. 3302, 34469, Maslak, Istanbul, Turkey

    A. Şima Uyar

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© 2010 Springer-Verlag Berlin Heidelberg

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Jackson, D. (2010). Phenotypic Diversity in Initial Genetic Programming Populations. In: Esparcia-Alcázar, A.I., Ekárt, A., Silva, S., Dignum, S., Uyar, A.Ş. (eds) Genetic Programming. EuroGP 2010. Lecture Notes in Computer Science, vol 6021. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12148-7_9

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  • DOI: https://doi.org/10.1007/978-3-642-12148-7_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12147-0

  • Online ISBN: 978-3-642-12148-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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