Title :
DNA coded GA for the rule base optimization of a fuzzy logic controller
Author :
Peng, Xiao ; Vadakkepat, Prahlad ; Lee, Tong Heng
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
Abstract :
A DNA coded genetic-algorithm (GA) is proposed to optimize the rule-base of a fuzzy logic controller (FLC). The controller is designed for a vehicle-active suspension system to improve the driving comfort. The DNA codes GA constructed optimal decision-making rules for the fuzzy logic controller. Simulation results demonstrate the effectiveness of the algorithm
Keywords :
biocomputing; fuzzy control; genetic algorithms; intelligent control; vehicles; DNA coded GA; DNA coded genetic-algorithm; FLC; GA constructed optimal decision-making rules; driving comfort; fuzzy logic controller; rule base optimization; rule-base optimization; vehicle-active suspension system; Acceleration; Computational modeling; Concurrent computing; Control systems; DNA computing; Decision making; Fuzzy logic; Genetic algorithms; Humans; Optimal control;
Conference_Titel :
Evolutionary Computation, 2001. Proceedings of the 2001 Congress on
Conference_Location :
Seoul
Print_ISBN :
0-7803-6657-3
DOI :
10.1109/CEC.2001.934326
