DocumentCode
3139282
Title
Design of fuzzy controller using genetic algorithms with new mutation operator
Author
Guenounou, Ouahib ; Belmehdi, Ali ; Dahhou, Boutaieb ; Belkherchi, Nassim
Author_Institution
Lab. of Ind. Technol. & Inf. LT2I, Univ. of Bejaia, Algeria
fYear
2011
fDate
22-25 March 2011
Firstpage
1
Lastpage
6
Abstract
This paper proposes a new method to design a fuzzy logic controller by genetic algorithms (GAs). The basic idea of this new methodology is to use a new way to mutate the chromosome. Bio-process control problem is used to compare the proposed mutation to traditional mutation. The results show that the proposed mutation efficiently improves GA´s performance.
Keywords
control system synthesis; fuzzy control; genetic algorithms; bio-process control; fuzzy logic controller design; genetic algorithms; mutation operator; Biological cells; Encoding; Fuzzy sets; Genetic algorithms; Genetics; Niobium; Substrates; Fuzzy controller; bio-process; genetic algorithm; mutation;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Signals and Devices (SSD), 2011 8th International Multi-Conference on
Conference_Location
Sousse
Print_ISBN
978-1-4577-0413-0
Type
conf
DOI
10.1109/SSD.2011.5767448
Filename
5767448
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