Fuzzy system design with a cascaded genetic algorithm

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.