Examination of PSO, GA-PSO and ACO algorithms for the design optimization of printed antennas

Particle swarm optimization (PSO), Genetic Algorithm (GA) and Ant colony optimization (ACO) are widely used algorithms for optimization problems in electromagnetics. In this paper ACO, PSO and GA based PSO (GA-PSO) are implemented and compared for optimizing the (i) feed location of a simple patch and (ii) element spacing in a linear array to obtain the desired beamwidth. For the aforementioned problems, ACO seems to offer solutions with lesser computational time.