Genetic algorithm in the design of thinned arrays with low sidelobe levels

This paper discusses the problem of designing thinned linear and planar arrays with low peak sidelobe levels. It is concluded that the near-optimal method known as simulation is genetic algorithm. We see that genetic algorithm performs better on this synthesis problem by comparing the simulation results of uniform random arranged arrays (URA) and give a necessary analysis.