Genetic algorithm-based optimization of fuzzy logic controller using characteristic parameters

Author

Park, Young Jun ; Cho, Hyung Suck ; Cha, Dong Hyuk

Author_Institution

Dept. of Mech. Eng., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea

Volume

2

fYear

1995

fDate

29 Nov-1 Dec 1995

Firstpage

831

Abstract

A novel optimization algorithm of fuzzy logic controller (FLC) using genetic algorithms (GAs) is proposed. To characterize the major design parameters of an FLC, characteristic parameters are defined which can greatly simplify the design procedure of the FLC. The characteristic parameters are encoded into a chromosome presented as an integer string. The chromosomes are then optimized by maximizing the evaluated fitness through genetic operations, and as a result, the optimized FLC can be obtained. The effectiveness of the proposed algorithm has been verified through a series of simulations for a water level control system

Keywords

computerised control; control system analysis computing; fuzzy control; fuzzy logic; genetic algorithms; characteristic parameters; chromosome; design parameters; fuzzy logic controller; genetic algorithm based optimization; genetic operations; integer string; optimization algorithm; optimized FLC; water level control system; Biological cells; Design optimization; Fuzzy control; Fuzzy logic; Fuzzy sets; Genetic algorithms; Level control; Mechanical engineering; Optimized production technology; Shape control;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 1995., IEEE International Conference on

Conference_Location

Perth, WA

Print_ISBN

0-7803-2759-4

Type

conf

DOI

10.1109/ICEC.1995.487494

Filename

487494