The control of adaptive antenna arrays with genetic algorithms using dominance and diploidy

Adaptation of an antenna array controlled by digital-phase shifters using a n advanced operator genetic algorithm is demonstrated. The genetic algorith m continuously optimizes the antenna's received signal-to-noise-plus-interf erence ratio (SINR) (Applebaum criterion) under changing interference condi tions. Unlike earlier attempts to control adaptive array antennas using evo lutionary optimization techniques, the current study uses a genetic algorit hm with a population composed of individuals characterized by two chromosom es. Several numerical examples demonstrate that this "diploid" structure im proves the ability of the genetic algorithm to adapt to changing conditions when compared with a simple genetic algorithm.