Parameter Adaptation in the Imperialist Competitive Algorithm Using Generalized Type-2 Fuzzy Logic

Abstract

In this paper we propose the use of generalized type-2 fuzzy systems to dynamic adjustment the parameters of the imperialist competitive algorithm (ICA), and we take a type-1 fuzzy system as a basis to extend our proposal using generalized type-2 fuzzy logic. The ICA algorithm is based on the concept of imperialism in which the strongest countries try to take control of the weakest countries. In order to measure the performance of our proposed method different benchmark functions were used and finally, a comparison was made between the variants to observe their behavior applied to benchmark mathematical functions.