Electromagnetic imaging for an imperfectly conducting cylinder by the genetic algorithm

This paper presents a computational approach to the imaging of an imperfect ly conducting cylinder by the genetic algorithm (GA), A conducting cylinder of unknown shape and conductivity scatters the incident wave in free space and the scattered field is recorded outside, Based on the boundary conditi on and the measured scattered held, a set of nonlinear integral equations i s derived and the imaging problem is reformulated into an optimization prob lem. The GA is then employed to find out the global extreme solution of the cost function. Numerical results demonstrated that, even when the initial guess is far away from the exact one, good reconstruction has been obtained , In such a case, the gradient-based methods often get trapped in a local e xtreme. In addition, the effect of Gaussian noise on the reconstruction res ults is investigated. Numerical results show that multiple incident directi ons permit good reconstruction of shape and, to a lesser extent, conductivi ty in the presence of noise in measured data.