Generalized approach for GA based learning of FLC design parameters

This paper aims at the Genetic Algorithm (GA's) based tuning of fuzzy logic controller (FLC). A two-step approach is proposed to tune a fuzzy logic controller using genetic algorithm. Moreover, it has been tried to develop a stepwise method to tune a fuzzy logic controller with GA in less number of generations. Special attention has been given to the learning of knowledge base which can be used for the elimination of premise variable or the whole rule from the rule base.