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Bacterial memetic algorithm for fuzzy rule base optimization

Cabrita, Cristiano; Botzheim, Janos; Gedeon, Tamas (Tom); Ruano, Antonio E; Fonseca, Carlos; Koczy, Lazlo

Description

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...[Show more]

CollectionsANU Research Publications
Date published: 2006
Type: Conference paper
URI: http://hdl.handle.net/1885/36583
Source: Proceedings of World Automation Conference 2006
DOI: 10.1109/WAC.2006.376057

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