Parameters Identification for Jiles-Atherton Model using Genetic Algorithms

The model given in (Moulay, Aziz-Alaoui & Cadivel 2011, Moulay, Aziz-Alaoui & Kwon 2011) takes into account the mosquito biological life cycle and de- scribes the

Abstract : The aims of this work is the modeling of the hysteresis loop in ferromagnetic materials, and allowed to highlight of the difficulty that exists in the choice of an

The GA is a powerful and flexible tool for the identification of non-linear systems and can be used in the identification of systems with hysteresis in particular for

Abstract : The purpose of this paper is to propose a robust and fast method to estimate the parameters of Jiles-Atherton model of ferromagnetic hysteresis by using genetic

that : The coercive force of a symmetrical loop having the vertex at (Hv, Jy) is lower than the field strength corresponding, on the magnetization curve, to the

Abstract.- The lowest six momenta of the spectral function of the electronic Green function in the s-d model are expressed using spin-spin correlation functions in the

This method gave us the MIP signature but it also enabled access to the Eddy Current Magnetic Signature (EC-MS) plot, impedance imaginary part as a function of the real part which

The fitness function for a particle is defined as the squared error between the measured values and the calculated ones (ob- tained by considering the associated position) of a