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Efficient Phenotype Evaluation in Cartesian Genetic Programming

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Genetic Programming (EuroGP 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7244))

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Abstract

This paper describes an efficient acceleration technique designed to speedup the evaluation of candidate solutions in Cartesian Genetic Programming (CGP). The method is based on translation of the CGP phenotype to a binary machine code that is consequently executed. The key feature of the presented approach is that the introduction of the translation mechanism into common fitness evaluation procedure requires only marginal knowledge of target CPU instruction set. The proposed acceleration technique is evaluated using a symbolic regression problem in floating point domain. It is shown that for a cost of small changes in a common CGP implementation, a significant speedup can be obtained even on a common desktop CPU. The accelerated version of CGP implementation accompanied with performance analysis is available for free download from http://www.fit.vutbr.cz/~vasicek/cgp

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Author information

Authors and Affiliations

  1. Faculty of Information Technology, IT4Innovations Centre of Excellence, Brno University of Technology, Brno, Czech Republic

    Zdeněk Vašíček & Karel Slaný

Authors
  1. Zdeněk Vašíček
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  2. Karel Slaný
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Editor information

Editors and Affiliations

  1. School of Computer Science, University of Birmingham, B15 2TT, Edgbaston, Birmingham, UK

    Alberto Moraglio

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

    Sara Silva

  3. Institute of Computing Science, Poznań University of Technology, Piotrowo 2, 60-965, Poznań, Poland

    Krzysztof Krawiec

  4. Faculty of Sciences and Technology, Department of Informatics Engineering, University of Coimbra, Pólo II - Pinhal de Marrocos, 3030, Coimbra, Portugal

    Penousal Machado

  5. ETSI Informática, Universidad de Málaga, Campus de Teatinos, 29071, Málaga, Spain

    Carlos Cotta

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© 2012 Springer-Verlag Berlin Heidelberg

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Vašíček, Z., Slaný, K. (2012). Efficient Phenotype Evaluation in Cartesian Genetic Programming. In: Moraglio, A., Silva, S., Krawiec, K., Machado, P., Cotta, C. (eds) Genetic Programming. EuroGP 2012. Lecture Notes in Computer Science, vol 7244. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29139-5_23

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  • DOI: https://doi.org/10.1007/978-3-642-29139-5_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29138-8

  • Online ISBN: 978-3-642-29139-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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