Modifications of genetic algorithms for designing and optimizing fuzzy controllers

Author

Kinzel, J. ; Klawonn, F. ; Kruse, R.

Author_Institution

Dept. of Comput. Sci., Tech. Univ. of Braunschweig, Germany

fYear

1994

fDate

27-29 Jun 1994

Firstpage

28

Abstract

The paper investigates the possibilities for applications of genetic algorithms to tuning and optimizing fuzzy controllers, or even to generate fuzzy controllers automatically. There are various ad hoc approaches to use genetic algorithms for the design of fuzzy controllers, which already indicated good results. However, there is a need for systematic techniques that take the properties of fuzzy controllers and genetic algorithm into account in order to obtain fast convergence and to be able to tackle more complex control problems

Keywords

controllers; fuzzy control; fuzzy set theory; genetic algorithms; intelligent control; optimisation; ad hoc approaches; complex control problems; fast convergence; fuzzy controllers; genetic algorithms; optimizing; systematic techniques; Algorithm design and analysis; Automatic control; Automatic generation control; Control systems; Design optimization; Fuzzy control; Fuzzy sets; Fuzzy systems; Genetic algorithms; Process control;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the First IEEE Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-1899-4

Type

conf

DOI

10.1109/ICEC.1994.350047

Filename

350047