Title :
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
fDate :
29 Nov-1 Dec 1995
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;
Conference_Titel :
Evolutionary Computation, 1995., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2759-4
DOI :
10.1109/ICEC.1995.487494
