Effect of Genetic Algorithm parameters on convergence of the electromagnetic inverse method

Nowadays, the EMC researches have been advanced. The evolution, the diversity of the calculation's method and computing resources have to emphasize the investigations dedicated to the electromagnetic modeling method. Thus, we find the electromagnetic inverse method. It attracted the attention of several research's teams. This method can use different methods of optimization and, especially, the Genetic Algorithms (GA). In this work, we apply the electromagnetic inverse method coupled with the method of GA in order to model the radiated emissions of electrical circuits with the electric and magnetic dipole from near field measurement. In this paper, we study the effect of the parameters of Genetic Algorithms on the convergence of the electromagnetic inverse method. To do it, we changed the main parameters of GA in Matlab and we study the effect of each parameter.