Title :
Fuzzy system design with a cascaded genetic algorithm
Author :
Heider, Henning ; Drabe, Thorsten
Author_Institution :
SIBET GmbH, Hannover, Germany
Abstract :
A cascaded genetic algorithm is presented which automatically generates very efficient fuzzy systems with a minimal number of fuzzy sets and rules. Applications arise with complex systems which are hard to design and optimize manually. Tests on fuzzy controller design show that the proposed algorithm is superior to a conventional genetic algorithm
Keywords :
automatic programming; control system CAD; fuzzy control; fuzzy set theory; fuzzy systems; genetic algorithms; knowledge engineering; systems analysis; cascaded genetic algorithm; complex systems; fuzzy controller design; fuzzy rules; fuzzy sets; fuzzy system design; fuzzy system generation; Algorithm design and analysis; Automatic control; Design optimization; Evolutionary computation; Fuzzy control; Fuzzy sets; Fuzzy systems; Genetic algorithms; Humans; Testing;
Conference_Titel :
Evolutionary Computation, 1997., IEEE International Conference on
Conference_Location :
Indianapolis, IN
Print_ISBN :
0-7803-3949-5
DOI :
10.1109/ICEC.1997.592378
