Particle Swarm Optimization Algorithm and Its Modifications Applied to EM Problems

The canonical Particle Swarm Optimization (PSO) algorithm is known to be very good solution for EM optimization problems. In this paper we present results for a few modifications of the PSO algorithm (Fully Informed PSO algorithm and Repeated PSO algorithm) when they are applied to the optimization of a broadside antenna array. The aim is to find out if and under what circumstances these modifications can give better results than the canonical PSO algorithm. According to obtained results, the well set-up canonical PSO algorithm (with appropriately chosen parameters), outperforms its modifications for EM optimization problems. The number of particles in the swarm seems to be proportional to both the number of dimensions of the optimization problem and the number of iterations.