GeLog - A System Combining Genetic Algorithm with Inductive Logic Programming

Kókai G (2001)


Publication Language: English

Publication Type: Conference contribution, Original article

Publication year: 2001

Journal

Publisher: Springer-verlag

Edited Volumes: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Series: Lecture Notes in Computer Science

City/Town: Berlin Heidelberg

Book Volume: 2206

Pages Range: 326-345

Conference Proceedings Title: Computational Intelligence. Theory and Applications - International Conference, 7th Fuzzy Days

Event location: Dortmund DE

ISBN: 978-3-540-42732-2

URI: http://www2.informatik.uni-erlangen.de/publication/download/GeLog-paper_DA.ps.gz

DOI: 10.1007/3-540-45493-4

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.

How to cite

APA:

Kókai, G. (2001). GeLog - A System Combining Genetic Algorithm with Inductive Logic Programming. In Reusch, B. (Eds.), Computational Intelligence. Theory and Applications - International Conference, 7th Fuzzy Days (pp. 326-345). Dortmund, DE: Berlin Heidelberg: Springer-verlag.

MLA:

Kókai, Gabriella. "GeLog - A System Combining Genetic Algorithm with Inductive Logic Programming." Proceedings of the International Conference on Computational Intelligence, 7th Fuzzy Days, Dortmund Ed. Reusch, B., Berlin Heidelberg: Springer-verlag, 2001. 326-345.

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