Title :
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
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;
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
DOI :
10.1109/ICEC.1994.350047
