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Optimierung Hierarchischer Fuzzy-Regler mit Genetischen Algorithmen

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Fuzzy Logik

Part of the book series: Informatik aktuell ((INFORMAT))

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Zusammenfassung

Ein Verfahren zur Konstruktion von hierarchischen Fuzzy-Reglern mit Genetischen Algorithmen wird vorgestellt. Am Beispiel der Steuerung eines autonomen Fahrzeugs wird eine Anwendung der Methode demonstriert. Das Fahrzeug hat die Aufgabe ein vorgegebenes Ziel zu erreichen und dabei eine Kollision mit Wänden und Hindernissen zu vermeiden.

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References

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Author information

Authors and Affiliations

  1. Institut für Angewandte Physik, Universität Kiel, 24098, Kiel, Germany

    Frank Hoffmann & Gerd Pfister

Authors
  1. Frank Hoffmann
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  2. Gerd Pfister
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Editor information

Editors and Affiliations

  1. Fachbereich Informatik, Lehrstuhl Informatik I, Universität Dortmund, Otto-Hahn-Straße 16, D-44227, Mortmund, Deutschland

    Bernd Reusch

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© 1994 Springer-Verlag Berlin Heidelberg

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Hoffmann, F., Pfister, G. (1994). Optimierung Hierarchischer Fuzzy-Regler mit Genetischen Algorithmen. In: Reusch, B. (eds) Fuzzy Logik. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-79386-8_12

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  • DOI: https://doi.org/10.1007/978-3-642-79386-8_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58649-4

  • Online ISBN: 978-3-642-79386-8

  • eBook Packages: Springer Book Archive

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