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Genetic algorithms-based creation of fuzzy-rule bases for the car control

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SOFSEM'96: Theory and Practice of Informatics (SOFSEM 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1175))

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Abstract

This paper presents an application of genetic algorithms (GA) to the automated generation of fuzzy-rule bases. The evolved fuzzy-rule bases are used for the fuzzy control of a simulated car when the drive is influenced by side-wind effects. GA generate and optimize the number of state variables with their respective values defined as fuzzy sets and the number and composition of fuzzy control-rules. The method used in this paper strongly reduces the number of rules (the rules simulate actions of a driver and are needed for the successful control of the car), and provides better results in comparison with fuzzy controllers created by human designers.

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References

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Author information

Authors and Affiliations

  1. Department of Automation and Instrumentation, Technical University of Brno, Božetěchova 2, 612 66, Brno, Czech Republic

    Jan Žižka & Zdeněk Kratochvíl

Authors
  1. Jan Žižka
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  2. Zdeněk Kratochvíl
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Editor information

Keith G. Jeffery Jaroslav Král Miroslav Bartošek

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© 1996 Springer-Verlag Berlin Heidelberg

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Žižka, J., Kratochvíl, Z. (1996). Genetic algorithms-based creation of fuzzy-rule bases for the car control. In: Jeffery, K.G., Král, J., Bartošek, M. (eds) SOFSEM'96: Theory and Practice of Informatics. SOFSEM 1996. Lecture Notes in Computer Science, vol 1175. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0037432

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  • DOI: https://doi.org/10.1007/BFb0037432

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61994-9

  • Online ISBN: 978-3-540-49588-8

  • eBook Packages: Springer Book Archive

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