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Methods for Genealogy and Building Block Analysis in Genetic Programming

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Computational Intelligence and Efficiency in Engineering Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 595))

Abstract

Genetic programming gradually assembles high-level structures from low-level entities or building blocks. This chapter describes methods for investigating emergent phenomena in genetic programming by looking at a population’s collective behavior. It details how these methods can be used to trace genotypic changes across lineages and genealogies. Part of the methodology, we present an algorithm for decomposing arbitrary subtrees from the population to their inherited parts, picking up the changes performed by either crossover or mutation across ancestries. This powerful tool creates new possibilities for future theoretical investigations on evolutionary algorithm behavior concerning building blocks and fitness landscape analysis.

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Authors and Affiliations

  1. Communications and Media, School of Informatics, University of Applied Sciences Upper Austria, Softwarepark 11, 4232, Hagenberg, Austria

    Bogdan Burlacu, Michael Affenzeller, Stephan Winkler, Michael Kommenda & Gabriel Kronberger

  2. Institute for Formal Models and Verification, Johannes Kepler University Linz, Altenbergerstr. 69, 4040, Linz, Austria

    Bogdan Burlacu, Michael Affenzeller & Michael Kommenda

Authors
  1. Bogdan Burlacu
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  2. Michael Affenzeller
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  3. Stephan Winkler
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  4. Michael Kommenda
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  5. Gabriel Kronberger
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Corresponding author

Correspondence to Bogdan Burlacu .

Editor information

Editors and Affiliations

  1. Warsaw University of Technology, Warsaw, Poland

    Grzegorz Borowik

  2. University of Technology, Sydney, New South Wales, Australia

    Zenon Chaczko

  3. University of Applied Sciences Upper Austria, Hagenberg, Austria

    Witold Jacak

  4. Warsaw University of Technology, Warsaw, Poland

    Tadeusz Łuba

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Burlacu, B., Affenzeller, M., Winkler, S., Kommenda, M., Kronberger, G. (2015). Methods for Genealogy and Building Block Analysis in Genetic Programming. In: Borowik, G., Chaczko, Z., Jacak, W., Łuba, T. (eds) Computational Intelligence and Efficiency in Engineering Systems. Studies in Computational Intelligence, vol 595. Springer, Cham. https://doi.org/10.1007/978-3-319-15720-7_5

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  • DOI: https://doi.org/10.1007/978-3-319-15720-7_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15719-1

  • Online ISBN: 978-3-319-15720-7

  • eBook Packages: EngineeringEngineering (R0)

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