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GeLog — A System Combining Genetic Algorithm with Inductive Logic Programming

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Computational Intelligence. Theory and Applications (Fuzzy Days 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2206))

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Abstract

We have developed a genetic logic programming system (GeLog) which implements a combination of two different approaches for automatic programming: inductive logic programming and genetic algorithm. The paper presents the system and discusses its performance on a benchmark problem1.

This work is supported by the grants of the Bayerischer Staatsministerium für Wissenschaft, Forschung und Kunst, DAAD and Siemens

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Author information

Authors and Affiliations

  1. Department of Computer Science, Programming Languges Friedrich-Alexander University of Erlangen-Nürnberg, Martensstr. 3., D-91058, Erlange, Germany

    Gabriella Kókai

Authors
  1. Gabriella Kókai
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Editor information

Editors and Affiliations

  1. Computer Science I, University of Dortmund, 44221, Dortmund, Germany

    Bernd Reusch

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© 2001 Springer-Verlag Berlin Heidelberg

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Kókai, G. (2001). GeLog — A System Combining Genetic Algorithm with Inductive Logic Programming. In: Reusch, B. (eds) Computational Intelligence. Theory and Applications. Fuzzy Days 2001. Lecture Notes in Computer Science, vol 2206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45493-4_36

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  • DOI: https://doi.org/10.1007/3-540-45493-4_36

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42732-2

  • Online ISBN: 978-3-540-45493-9

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