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Practical Model of Genetic Programming’s Performance on Rational Symbolic Regression Problems

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Genetic Programming (EuroGP 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4971))

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Abstract

Many theoretical studies on GP are criticized for not being applicable to the real world. Here we present a practical model for the performance of a standard GP system in real problems. The model gives accurate predictions and has a variety of applications, including the assessment of the similarities and differences of different GP systems.

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Authors

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Michael O’Neill Leonardo Vanneschi Steven Gustafson Anna Isabel Esparcia Alcázar Ivanoe De Falco Antonio Della Cioppa Ernesto Tarantino

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© 2008 Springer-Verlag Berlin Heidelberg

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Graff, M., Poli, R. (2008). Practical Model of Genetic Programming’s Performance on Rational Symbolic Regression Problems. In: O’Neill, M., et al. Genetic Programming. EuroGP 2008. Lecture Notes in Computer Science, vol 4971. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78671-9_11

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  • DOI: https://doi.org/10.1007/978-3-540-78671-9_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78670-2

  • Online ISBN: 978-3-540-78671-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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