Differential evolution algorithm with interval type-2 fuzzy logic for the optimization of the mutation parameter

Abstract

In this paper we propose using interval type-2 fuzzy logic for the optimization of parameters the form dynamic using the Differential Evolution algorithm. For this particular work we use Benchmark mathematical functions for the experiments that were performed adhering to the rules of the competition for the IEEE Congress on Evolutionary Computation (CEC) benchmark set of 2015. We are presenting a comparison against the winning paper of the competition IEEE Congress on Evolutionary Computation (CEC) to verify how good the proposed method Fuzzy Differential Evolution algorithm really is.