30 Imperialist Competitive Algorithm with Moving Imperialists (MICA) Available to Purchase

This paper introduces an improved evolutionary algorithm based on the Imperialist Competitive Algorithm (ICA), called Imperialist Competitive Algorithm with Moving Imperialists (MICA). The Imperialist Competitive Algorithm that was recently introduced has shown its reliable performance in optimization problems. This novel optimization algorithm is inspired by sociopolitical process of imperialistic competition in the real world. This algorithm converges fastly but is easily stuck into a local optimum when solving high-dimensional optimization problems. The MICA is a strategy proposed in order to increase the performance of ICA and in most cases, to escape the algorithm from local optima trap. In the main ICA the position of Imperialists are fixed while in MICA some of Imperialists have movements for more exploration. In MICA, some of the Imperialists having less power are selected and move in a direction contrary to the other Imperialists. But the best Imperialists do not move unless reach a better position compared to the previous position. Both algorithms tested with some famous benchmarks and results shows better performance for MICA in compare with ICA.