Population-based algorithms applied to Inverse Scattering Problem for dielectric coatings

Characterization of cloaking, realized by conformal dielectric coatings on a fixed core cylinder and carried out through an Inverse Scattering Problem (ISP), is presented as the minimization process of a proper cost functional. In order to overcome the overall non-linearity issue of the inverse problem related to the data equation, the idea presented in this paper is to exploit the bilinear form of the ISP in two successive steps. The increase in the computational cost is compensated by an hybrid scheme with local search (i.e., CG-FFT) for finding the auxiliary variable (e.g., total field) and with global optimization algorithms (i.e., GA, SGA, BBO and PSO) for the main unknown of the inverse scattering problem (i.e., complex permittivity).