A gravitational search algorithm using Type-2 fuzzy logic for parameter adaptation

Abstract

In this paper, we are presenting a modification of the Gravitational Search Algorithm (GSA) using type-2 fuzzy logic to dynamically change the alpha parameter and provide a different gravitation and acceleration to each agent in order to improve its performance. We test this approach with benchmark mathematical functions. Simulation results show the advantage of the proposed approach.