Differential evolution approaches applied to the Jiles-Atherton vector hysteresis parameters estimation

In this paper, the parameters set of the vector Jiles-Atherton hysteresis model is obtained with an approach based on a modified Differential Evolution (MDE), using generation variant control parameters. Classical DE is a simple and efficient global optimization algorithm. It has been successfully applied to solve a wide range of real-world optimization problems. Numerical comparisons with results using classical DE and genetic algorithms demonstrated that the performance of the MDE is promising in optimization of Jiles-Atherton vector hysteresis model.