Hybrid approach to the dynamic systems identification based on the self-configuring genetic programming algorithm and the differential evolution method
Tatiana Karaseva, Olga Er. Semenkina · IOP Conference Series Materials Science and Engineering · 2021
Abstract This paper considers a hybrid approach to the identification of dynamical systems based on a self-configuring genetic programming algorithm and a differential evolution method. The value of this approach is in the automatic determination of the order, structure and parameters of differential equation, i.e., a model of a dynamic system. The application of the differential evolution method can significantly increase the accuracy of the resulting model confirmed by the results of the experiments presented in this paper.