Computational approach based on some population-based optimization algorithms for inverse scattering of a metallic cylinder

The paper presents a study of time domain inverse scattering for a metallic cylinder based on the finite difference time domain (FDTD) method and the evolutionary algorithms (EAs). The FDTD method is employed to calculate the scattered E fields for the forward scattering, while the inverse scattering problem is transformed into an optimization one. The idea is to perform the image reconstruction by utilization of some optimization schemes to minimize the discrepancy between the measured and calculated scattered field data. The schemes tested include differential evolution (DE), dynamic differential evolution (DDE), self-adaptive differential evolution (SADE) and self-adaptive dynamic differential evolution (SADDE). The suitability and efficiency of the above methods applied to microwave imaging of a 2-D metallic cylinder are examined. Numerical results show that good reconstruction can be obtained by all optimization methods tested. However, SADDE outperforms DE, DDE and SADE regarding the reconstruction accuracy and the convergent speed in terms of the number of the function calls.