New look to real valued genetic algorithm used to reconstruct radiation patterns

In this paper, we present an optimization procedure exploiting a functional minimization method that utilizes the phaseless electric field data over two plane surfaces for the reconstruction of the phase distribution on the aperture of the measured antenna. The performance of a real-valued genetic algorithm (RVGA) applied to the functional minimization is presented. Analyses of the different pairing and mating methods which influence the GA behavior are included. RVGA is compared with other optimizations. Their comparison was carried out on the radiation pattern reconstruction of the horn antenna.