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European Conference on Genetic Programming

EuroGP 2016: Genetic Programming pp 68–82Cite as

Surrogate Fitness via Factorization of Interaction Matrix

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9594))

Abstract

We propose SFIMX, a method that reduces the number of required interactions between programs and tests in genetic programming. SFIMX performs factorization of the matrix of the outcomes of interactions between the programs in a working population and the tests. Crucially, that factorization is applied to matrix that is only partially filled with interaction outcomes, i.e., sparse. The reconstructed approximate interaction matrix is then used to calculate the fitness of programs. In empirical comparison to several reference methods in categorical domains, SFIMX attains higher success rate of synthesizing correct programs within a given computational budget.

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Acknowledgements

P. Liskowski acknowledges support from grant 2014/15/N/ST6/04572 funded by the National Science Centre, Poland.

K. Krawiec acknowledges support from grant 2014/15/B/ST6/05205 funded by the National Science Centre, Poland.

Author information

Authors and Affiliations

  1. Institute of Computing Science, Poznan University of Technology, Poznań, Poland

    Paweł Liskowski & Krzysztof Krawiec

Authors
  1. Paweł Liskowski
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  2. Krzysztof Krawiec
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Corresponding author

Correspondence to Paweł Liskowski .

Editor information

Editors and Affiliations

  1. Dalhousie University, Halifax, Nova Scotia, Canada

    Malcolm I. Heywood

  2. University College Dublin, Dublin, Ireland

    James McDermott

  3. Universidade Nova de Lisboa, Lisboa, Portugal

    Mauro Castelli

  4. CIUSC Dept Informatics Engg, University of Coimbra, Coimbra, Portugal

    Ernesto Costa

  5. Edinburgh Napier University, Edinburgh, United Kingdom

    Kevin Sim

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Liskowski, P., Krawiec, K. (2016). Surrogate Fitness via Factorization of Interaction Matrix. In: Heywood, M., McDermott, J., Castelli, M., Costa, E., Sim, K. (eds) Genetic Programming. EuroGP 2016. Lecture Notes in Computer Science(), vol 9594. Springer, Cham. https://doi.org/10.1007/978-3-319-30668-1_5

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  • DOI: https://doi.org/10.1007/978-3-319-30668-1_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30667-4

  • Online ISBN: 978-3-319-30668-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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