Modeling of heterogeneous materials and media is a problem of fundamental importance to
a wide variety of phenomena with applications to many disciplines, ranging from condensed …

This review is aimed at presenting an overview of evolutionary algorithms (EAs) as applied
to the solution of inverse scattering problems. The focus of this work is on the use of different …

In electromagnetics, optimization problems generally require high computational resources
and involve a large number of unknowns. They are usually characterized by non-convex …

Synthesis of unequally spaced linear antenna arrays is considered in this paper. A recently
developed new differential evolution algorithm is applied to solve the problem. Both position …

This work proposes a novel deep learning (DL) framework to solve the electromagnetic
inverse scattering (EMIS) problems. The proposed framework integrates the complex-valued …

In this article, a hierarchical stochastic optimization algorithm for profiling of multiple high-
contrast buried objects in large investigation domains (IDs) is presented. As this problem is …

In this paper, we study a joint inversion algorithm to reconstruct acoustic and
electromagnetic (EM) data in biomedical imaging. This algorithm is based on contrast …

Abstract Ground Penetrating Radar (GPR) is a non-destructive imaging system able to
provide high-resolution images of the subsurface. From a theoretical point of view, it requires …

A microwave imaging technique based on the integration of the Inexact-Newton method
within a multi-scaling strategy is proposed in the framework of the contrast field formulation …

A comparison between differential evolution (DE) and particle swarm optimization (PSO) in
solving 1-D small-scale inverse scattering problems is presented. In this comparison, the …