Otimizador de Enxame da Ratazana Implementado na Identificação de um Sistema MIMO
Keywords: Rats, metaheuristics, identification, MIMO system, hypothesis test
AbstractThis article implements a new metaheuristic called the rat swarm optimizer (RSO) in the process of identification of a real multivariable system. The ability to solve global optimization problems of this algorithm was analyzed for a sequence of 100 runs. In simulation, the values of the multiple correlation coefficient and the mean square error were obtained, which were used to analise the quality of the identification process. The performance RSO was compared with other metaheuristics such as the gray wolf optimizer (GWO), whale optimization algorithm (WOA), particle swarm optimization (PSO) and differential evolution (DE). The results show that RSO can be an alternative method to be used effectively in processes of identification of real multivariable systems.