Fuzzy Logic for dynamic adaptation in the Imperialist Competitive Algorithm

In this paper we propose the use of fuzzy systems for dynamic adjustment of parameters of the imperialist competitive algorithm (ICA). This algorithm is inspired by the concept of imperialism; where powerful countries try to make a colony of other countries. We developed different fuzzy systems one with the Beta parameter and another using a combination with the Beta and Xi parameters to measure the performance of the algorithm with 10 benchmark mathematical functions with different number of decades and 30 times each. In this paper a comparison was made between both variants for demonstrate the efficiency of the algorithm in optimization problems.