Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/70001
Title: DNA coded GA for the rule base optimization of a fuzzy logic controller
Authors: Peng, X.
Vadakkepat, P. 
Tong Heng Lee
Keywords: DNA
DNA coded GA
Fuzzy logic controller and active suspension system
Genetic algorithm
Issue Date: 2001
Source: Peng, X.,Vadakkepat, P.,Tong Heng Lee (2001). DNA coded GA for the rule base optimization of a fuzzy logic controller. Proceedings of the IEEE Conference on Evolutionary Computation, ICEC 2 : 1191-1196. ScholarBank@NUS Repository.
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 coded GA constructed optimal decision-making rules for the fuzzy logic controller. Simulation results demonstrated the effectiveness of the algorithm.
Source Title: Proceedings of the IEEE Conference on Evolutionary Computation, ICEC
URI: http://scholarbank.nus.edu.sg/handle/10635/70001
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