Research on optimizing fuzzy controllers based on genetic algorithm
Kaijun Xu, Chunyan Zhang, Shuwang Wang, Hannian Zhang · 2012
A novel method based on the concepts of genetic algorithm (GA) is proposed to design a fuzzy controller directly from some gathered input-output data. The proposed method can pick up fuzzy rule models and determine the parameters of membership functions of each input variable automatically from adequate datum. And it can optimize parameters of membership functions using a real coded genetic algorithms. Finally, a typical nonlinear function is utilized to illustrate the effectiveness of the proposed method.