DNA coded GA for the rule base optimization of a fuzzy logic controller

被引：0
|
作者：
Peng, X [1 ]
Vadakkepat, P [1 ]
Lee, TH [1 ]
机构：
[1] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 119260, Singapore
来源：
PROCEEDINGS OF THE 2001 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2 | 2001年
关键词：
DNA; genetic algorithm; DNA coded GA; fuzzy logic controller and active suspension system;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：1191 / 1196
页数：6
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