Elitist Genetic Algorithm Performance on the Uniform Circular Antenna Array Pattern Synthesis Problem

In this paper, the impacts of elitism rate on the Genetic Algorithm (GA) performance for the Uniform Circular Antenna Array Pattern Synthesis Problem are investigated. For this purpose, a circular antenna array with uniformly spaced isotropic elements having identical excitation amplitudes is used as a model. Unlike the classical GA, we use a GA structure having an elitist population update approach for improved GA performance. In the elitist approach, a certain ratio of the population (i.e. the fittest individuals) is directly transferred to the next generation.