Please use this identifier to cite or link to this item:
|Title:||DNA coded GA for the rule base optimization of a fuzzy logic controller||Authors:||Peng, X.
Tong Heng Lee
DNA coded GA
Fuzzy logic controller and active suspension system
|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.
checked on Dec 29, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.