Interval Type-2 fuzzy logic for dynamic parameter adjustment in the imperialist competitive algorithm
Emer Bernal, Oscar Castillo, José Soria, Fevrier Valdez · 2019
In this paper we propose the use of interval type-2 fuzzy systems to dynamically adjust the parameters of the imperialist competitive algorithm (ICA). A type-1 fuzzy system was taken as a basis, with the input variable as the decades and beta as the output variable, then after that we extended to an interval type-2 fuzzy system, with some variants base on triangular, Gaussian and trapezoidal membership functions. The imperialist competitive algorithm takes as its basis the concept of imperialism, where the strongest countries absorb the weakest and make then their colonies. To measure the performance of the proposed approach 6 benchmark functions are used and finally, a comparison was made between the variants and the results obtained with the type-1 fuzzy system to observe their behavior applied to benchmark mathematical functions.