A fuzzy differential evolution method with dynamic adaptation of parameters for the optimization of fuzzy controllers

In this paper a fuzzy system for dynamic adaptation of parameters is being developed for the optimization of the Differential Evolution (DE) algorithm. The main purpose of this work is to improve the Differential Evolution algorithm in which dynamic parameters of crossover and mutation will change in order to obtain better results. The Differential Evolution algorithm is an optimization method which belongs to the category of evolutionary computation and it´s usually applied in solving complex optimization problems.