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Fuzzy Setting of GA Parameters

  • Conference paper
Fuzzy Control

Part of the book series: Advances in Soft Computing ((AINSC,volume 6))

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Abstract

Applications of Genetic Algorithms — GAs for optimization problems are widely known as well for their advantages and disadvantages compared with classical numerical methods. In practical tests, a GA appears as robust method with a broad range of applications. The determination of GA parameters could be complicated. Therefore, for some real-life applications, several empirical observations of an experienced expert are needed to define these parameters. This fact degrades the applicability of GA for most of the real-world problems and users. Therefore, this article discusses some possibilities with setting a GA. The setting method of GA parameters is based on the fuzzy control of values of GA parameters. The feedback for the fuzzy control of GA parameters is realized by virtue of the behavior of some GA characteristics.

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Author information

Authors and Affiliations

  1. Faculty of Mechanical Engineering, Technical University of Brno, Technická 2, 616 69, Brno, Czech Republic

    Radek Matoušek & Pavel Ošmera

  2. Department of Automation and Information Technology, Czech Republic

    Radek Matoušek & Pavel Ošmera

Authors
  1. Radek Matoušek
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  2. Pavel Ošmera
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Editor information

Editors and Affiliations

  1. Institute of Process Technique, Automation and Measuring Technique (IPM), University of Applied Sciences Zittau/Görlitz, Theodor-Körner-Allee 16, 02763, Zittau, Germany

    Rainer Hampel , Michael Wagenknecht  & Nasredin Chaker ,  & 

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© 2000 Springer-Verlag Berlin Heidelberg

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Matoušek, R., Ošmera, P. (2000). Fuzzy Setting of GA Parameters. In: Hampel, R., Wagenknecht, M., Chaker, N. (eds) Fuzzy Control. Advances in Soft Computing, vol 6. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1841-3_27

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  • DOI: https://doi.org/10.1007/978-3-7908-1841-3_27

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-1327-2

  • Online ISBN: 978-3-7908-1841-3

  • eBook Packages: Springer Book Archive

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