Please use this identifier to cite or link to this item:
https://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 | Citation: | 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 |
Appears in Collections: | Staff Publications |
Show full item record
Files in This Item:
There are no files associated with this item.
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.