Computational Approach Based on a Differential Evolution with Self-Adaptive Concept for Microwave Imaging of Two-Dimensional Inverse Scattering Problem

Abstract

The application of four techniques for the shape reconstruction of a metallic cylinder by measured scattered fields is studied in this article. These approaches are applied to two-dimensional configurations. Finite-difference time-domain is employed for the analysis of the forward scattering part, while the inverse scattering problems are transformed into optimization problems. Different differential evolutionary algorithms are applied to reconstruct the location and shape of the two-dimensional metallic cylinder. These techniques have been tested in the case of simulated measurements contaminated by additive white Gaussian noise. The reconstructed results by algorithm with self-adaptive control parameter settings are better than these obtained by the standard differential evolution algorithm and dynamic differential evolution algorithm.