Improvements to the bacterial memetic algorithm used for fuzzy rule base extraction

László Gál, János Botzheim, László T. Kóczy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Citations (Scopus)

Abstract

In this paper we discuss new methods to improve the Bacterial Memetic Algorithm (BMA) used for fuzzy rule base extraction. The first two methods are knot order violation handling methods which improves the performance of the BMA rather in the case of more complex fuzzy rule base. The third method is a new modification of the BMA in which the order of the operators is modified. This method improves the performance of the BMA rather in the case of less complex fuzzy rule base.

Original languageEnglish
Title of host publicationCIMSA 2008 - IEEE Conference on Computational Intelligence for Measurement Systems and Applications Proceedings
Pages38-43
Number of pages6
DOIs
Publication statusPublished - Sep 26 2008
Event2008 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, IEEE CIMSA 2008 - Istanbul, Turkey
Duration: Jul 14 2008Jul 16 2008

Publication series

NameCIMSA 2008 - IEEE Conference on Computational Intelligence for Measurement Systems and Applications Proceedings

Other

Other2008 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, IEEE CIMSA 2008
CountryTurkey
CityIstanbul
Period7/14/087/16/08

Keywords

  • BMA with the modified operator execution order
  • Bacterial memetic algorithm (BMA)
  • Fuzzy systems
  • Knot order violation
  • Levenberg-Marquardt method
  • Mamdani-Type inference systems

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Control and Systems Engineering

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  • Cite this

    Gál, L., Botzheim, J., & Kóczy, L. T. (2008). Improvements to the bacterial memetic algorithm used for fuzzy rule base extraction. In CIMSA 2008 - IEEE Conference on Computational Intelligence for Measurement Systems and Applications Proceedings (pp. 38-43). [4595829] (CIMSA 2008 - IEEE Conference on Computational Intelligence for Measurement Systems and Applications Proceedings). https://doi.org/10.1109/CIMSA.2008.4595829