A comparison between different modern population based optimization methods applied to
the design of scannable circular antenna arrays is presented in this paper. This design of …

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 …

Swarm intelligence denotes a class of new stochastic algorithms inspired by the collective
social behavior of natural entities (eg, birds, ants, etc.). Such approaches have been proven …

In this paper, we combine two techniques together, ie, the fast Fourier transform-twofold
subspace-based optimization method (FFT-TSOM) and multiplicative regularization (MR) to …

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 …

Antenna design problems often require the optimization of several conflicting objectives
such as gain maximization, sidelobe level (SLL) reduction and input impedance matching …

An electromagnetic inverse scattering procedure for the reconstruction of shallow buried
objects in a homogeneous half-space is proposed. The approach is based on the numerical …

This paper presents asynchronous particle swarm optimization (APSO) applied to the time-
domain inverse scattering problems of two-dimensional metallic cylinder buried in slab …

This article presents the studies of the microwave image reconstruction of two-dimensional
homogeneous dielectric cylinders that are based on the finite difference time domain …

An approach based on the use of the arithmetic of intervals and Interval Analysis for the
solution of inverse scattering problems is presented and assessed. By exploiting the …