Particle swarm optimisation (PSO) has been enormously successful. Within little more than a
decade hundreds of papers have reported successful applications of PSO. In fact, there are …

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 …

We give an overview of recent techniques which use a level set representation of shapes for
solving inverse scattering problems. The main focus is on electromagnetic scattering using …

An innovative inverse scattering (IS) technique for the simultaneous processing of
multifrequency (MF) ground-penetrating radar (GPR) measurements is proposed. The …

Particle swarm optimisation (PSO) has been enormously successful. Within little more than a
decade hundreds of papers have reported successful applications of PSO. In fact, there are …

In this paper, two new techniques for microwave imaging of layered structures are
introduced. These techniques were developed to address the limiting issues associated with …

Particle swarm optimization (PSO) is a population-based swarm intelligence algorithm and it
has attracted a large number of widespread researchers. As a branch of PSO, a probabilistic …

Particle swarm optimization (PSO) is an evolutionary algorithm based on the bird fly.
Differential evolution (DE) is a vector population based stochastic optimization method. The …

In this study, the minimisation of the power losses because of undesired sideband radiations
in time-modulated planar arrays is dealt with. A closed-form expression for evaluating the …