Bacterial memetic algorithm for fuzzy rule base optimization

Cristiano Cabrita, János Botzheim, Tamas D. Gedeon, António E. Ruano, L. Kóczy, Carlos Fonseca

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

7 Citations (Scopus)

Abstract

In our previous works model identification methods were discussed. The bacterial evolutionary algorithm for extracting a fuzzy rule base from a training set was presented. The LevenbergMarquardt method was also proposed for determining membership functions in fuzzy systems. The combination of evolutionary and gradient-based learning techniques - the bacterial memetic algorithm - was also introduced. In this paper an improvement of the bacterial memetic algorithm is shown for fuzzy rule extraction. The new method can optimize not only the rules, but can also find the optimal size of the rule base. Copyright - World Automation Congress (WAC) 2006.

Original languageEnglish
Title of host publication2006 World Automation Congress, WAC'06
DOIs
Publication statusPublished - 2007
Event2006 World Automation Congress, WAC'06 - Budapest, Hungary
Duration: Jun 24 2006Jun 26 2006

Other

Other2006 World Automation Congress, WAC'06
CountryHungary
CityBudapest
Period6/24/066/26/06

Fingerprint

Fuzzy rules
Fuzzy systems
Membership functions
Evolutionary algorithms
Identification (control systems)
Automation

Keywords

  • Bacterial algorithm
  • Fuzzy rule base
  • Levenberg-marquardt method
  • Memetic algorithm

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Cabrita, C., Botzheim, J., Gedeon, T. D., Ruano, A. E., Kóczy, L., & Fonseca, C. (2007). Bacterial memetic algorithm for fuzzy rule base optimization. In 2006 World Automation Congress, WAC'06 [4259973] https://doi.org/10.1109/WAC.2006.376057

Bacterial memetic algorithm for fuzzy rule base optimization. / Cabrita, Cristiano; Botzheim, János; Gedeon, Tamas D.; Ruano, António E.; Kóczy, L.; Fonseca, Carlos.

2006 World Automation Congress, WAC'06. 2007. 4259973.

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

Cabrita, C, Botzheim, J, Gedeon, TD, Ruano, AE, Kóczy, L & Fonseca, C 2007, Bacterial memetic algorithm for fuzzy rule base optimization. in 2006 World Automation Congress, WAC'06., 4259973, 2006 World Automation Congress, WAC'06, Budapest, Hungary, 6/24/06. https://doi.org/10.1109/WAC.2006.376057
Cabrita C, Botzheim J, Gedeon TD, Ruano AE, Kóczy L, Fonseca C. Bacterial memetic algorithm for fuzzy rule base optimization. In 2006 World Automation Congress, WAC'06. 2007. 4259973 https://doi.org/10.1109/WAC.2006.376057
Cabrita, Cristiano ; Botzheim, János ; Gedeon, Tamas D. ; Ruano, António E. ; Kóczy, L. ; Fonseca, Carlos. / Bacterial memetic algorithm for fuzzy rule base optimization. 2006 World Automation Congress, WAC'06. 2007.
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