We propose a new DNA-based genetic algorithm (DNA-GA) to optimize the design
parameters of a generalized membership-type Takagi-Sugeno fuzzy controller (GTSFC) …

A new DNA-based immune genetic algorithm (DNA-IGA) is proposed to design a class of
Takagi-Sugeno fuzzy control systems. The DNA-IGA is developed from the structures of …

We propose a new approach to DNA-based genetic algorithms (DNA-GA) to optimize the
design parameters for a class of general Takagi-Sugeno fuzzy controllers. The optimized …

In this paper, we propose a new approach to DNA-based evolutionary algorithm (DNA-EA)
to design automatically a class of Takagi-Sugeno (TS) fuzzy controllers. The fuzzy …

This paper contributes a new alternative for the synthesis of Takagi–Sugeno fuzzy logic
controller with reduced rule base. A Genetic Approach to Fuzzy Supervised Learning …

In this article, we propose a new approach to the virus DNA–based evolutionary algorithm
(VDNA‐EA) to implement self‐learning of a class of Takagi‐Sugeno (T‐S) fuzzy controllers …

Genetic algorithms (GAs) have been successfully applied in several problems of fuzzy
systems optimization. However, optimization of fuzzy controllers based on GAs has been …

A new DNA genetic algorithm (DNA-GA) based on the mechanism of biological DNA and
genetic information is proposed. The genetic operators of the DNA-GA are discussed. The …

TS-PID fuzzy controllers are a class of Tagagi-Sugeno (TS) fuzzy controllers whose rule
consequences employ PID expressions. The analytical model of typical TS-PID fuzzy …

This paper presents a new method to generate fuzzy logic controllers through the genetic
algorithm (GA). The genetic operations are implemented to determine almost all of the …