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Fuzzy Control pp 302-312 | Cite as

Fuzzy Setting of GA Parameters

  • Radek Matoušek
  • Pavel Ošmera
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 6)

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.

Keywords

Genetic Algorithm Membership Function Fuzzy Logic Fuzzy Rule Fuzzy Control 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Radek Matoušek
    • 1
    • 2
  • Pavel Ošmera
    • 1
    • 2
  1. 1.Faculty of Mechanical EngineeringTechnical University of BrnoBrnoCzech Republic
  2. 2.Department of Automation and Information TechnologyCzech Republic

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