EVOLUTIONARY ALGORITHMS FOR FUZZY LOGIC: A BRIEF OVERVIEW
Thomas Bäck, Frank Kursawe · Advances in fuzzy systems · 1995
Evolutionary algorithms are direct, global optimization algorithms gleaned from the model of organic evolution. The most important representatives, genetic algorithms and evolution strategies, are briefly introduced and compared in this paper, and their major differences are clarified. Furthermore, the paper summarizes the application possibilities of evolutionary algorithms in the design of fuzzy logic controllers. The optimization of fuzzy membership functions turns out to be a promising and successful application domain for evolutionary algorithms, while the automatic learning of fuzzy control rules by means of fuzzy classifier systems is still in an early stage of research.