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 …

Breast cancer is a menacing cancer, primarily affecting women. Continuous research is
going on for detecting breast cancer in the early stage as the possibility of cure in early …

In recent years, the research community has witnessed an explosion of literature dealing
with the mimicking of behavioral patterns and social phenomena observed in nature towards …

Particle swarm optimization (PSO) is a nature-inspired global optimization method that uses
interaction between particles to find the optimal solution in a complex search space. The …

Microwave tomography deserves attention in biomedical imaging, owing to its potential
capability of providing a morphological and functional assessment of the inspected tissues …

In recent years, particle swarm optimization (PSO) algorithm has been used to solve global
optimization problems. This algorithm is widely used as an effective optimization tool in …

The microwave imaging system currently being developed at the Technical University of
Denmark is described and its performance tested on simulated data. The system uses an …

Aiming at early detection of tumors, microwave breast imaging is investigated with a priori
information on tissue boundaries yielded from ultrasound reflection data. A regularization …

Breast cancer is the biggest curse for the women society in the world since the survival factor
of the infected patients is ensured only when it is detected at the early localized stage. The …

The algorithms that are inspired by the principles of natural biological evolution and
distributed collective behaviour of social colonies have shown excellence in dealing with …