Thinned Planar Array Synthesis Based On Multiagent Genetic Algorithm

A new numerical stochastic optimization approach with the multiagent genetic algorithm (MAGA), is firstly applied to thinned planar array synthesis. Furthermore, a model considered both low sidelobe level and high directivity is given for thinned phased array synthesis. The proposed approach is utilized for the synthesis of thinned planar arrays from the aperture size of a regular square latticed 16×16 array with half-wavelength spacing. Numerical experimental results indicate the MAGA is expected to be an attractive optimization tool for thinned array synthesis and the array obtained here have the ability to consider both sidelobe and directivity as the optimization targets.