DocumentCode
3250702
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
Volume
2
fYear
2001
fDate
2001
Firstpage
1191
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2001. Proceedings of the 2001 Congress on
Conference_Location
Seoul
Print_ISBN
0-7803-6657-3
Type
conf
DOI
10.1109/CEC.2001.934326
Filename
934326
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