DocumentCode
1931198
Title
Progressive bacterial algorithm
Author
Gal, Laszlo ; Lovassy, Rita ; Koczy, Laszlo T.
Author_Institution
Dept. of Technol., Inf. & Econ., Univ. of West Hungary, Szombathely, Hungary
fYear
2012
fDate
20-22 Nov. 2012
Firstpage
317
Lastpage
322
Abstract
The purpose of this paper is to present a new version of the Bacterial Algorithms used for fuzzy rule base extraction called Progressive Bacterial Algorithm. In order to explore high quality models with very good speed of convergence towards the optimal rule base, we develop an improved version of the Bacterial Evolutionary and former Bacterial Memetic Algorithms. It is shown, in case of multidimensional reference problems, by comparing with existing methods, that an efficient and fast convergent tool is obtained.
Keywords
fuzzy set theory; knowledge based systems; microorganisms; bacterial evolutionary; bacterial memetic algorithms; fuzzy rule base extraction; optimal rule base; progressive bacterial algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Informatics (CINTI), 2012 IEEE 13th International Symposium on
Conference_Location
Budapest
Print_ISBN
978-1-4673-5205-5
Electronic_ISBN
978-1-4673-5210-9
Type
conf
DOI
10.1109/CINTI.2012.6496782
Filename
6496782
Link To Document