Optimization of gain, impedance and bandwidth in Yagi-Uda antennas using genetic algorithm

A new application for genetic algorithms (GA) is introduced. After the use of this kind of algorithm in electromagnetic problems, especially those related with antennas, the present work proposes bandwidth optimization in Yagi-Uda antennas. In design of an antenna, there is more then one parameter that must be fit. Gain is just one of them, but impedance and bandwidth must also be fit. That is the main reason why a GA is often chosen; it can optimize more then one parameter at the same time and, as a stochastic method, it will not be stuck in a local minimum.