The proliferation of wireless services is driving innovative phased array solutions that are
able to provide better cost/performance tradeoffs. In this context, the use of irregular array …

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 …

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 …

An innovative approach for the optimal matching of independently optimum sum and
difference patterns through sub-arrayed monopulse linear arrays is presented. By exploiting …

A high convergence rate and a robust exploration ability constitute a contradiction in modern
heuristic optimization techniques. This paper describes a modified differential evolution …

Swarm Intelligence (SI) Algorithms imitate the collective behavior of various swarms or
groups in nature. In this work, three representative examples of SI algorithms have been …

A review of evolutionary algorithms (EAs) with applications to antenna and propagation
problems is presented. EAs have emerged as viable candidates for global optimization …

A new approach to the power synthesis of fixed-geometry reconfigurable planar arrays
radiating sum and difference patterns is presented. The proposed design technique allows …

Channel modeling of wireless communications from unmanned aerial vehicles (UAVs) is an
emerging research challenge. In this paper, we propose a solution to this issue by applying …