Optimization of Gain, Impedance, and Bandwidth of Yagi‐Uda Array Using Particle Swarm Optimization

Abstract

Particle swarm optimization (PSO) is a new, high‐performance evolutionary technique, which has recently been used for optimization problems in antennas and electromagnetics. It is a global optimization technique‐like genetic algorithm (GA) but has less computational cost compared to GA. In this paper, PSO has been used to optimize the gain, impedance, and bandwidth of Yagi‐Uda array. To evaluate the performance of designs, a method of moments code NEC2 has been used. The results are comparable to those obtained using GA.