Evolutionary strategies for advanced array optimization

Evolutionary algorithms (EAs) have had a widespread diffusion and have demonstrated to be very effective techniques for the design of antenna arrays. However, the main limitations are the high computational burden and low convergence speed which stimulated researchers towards the development of even more effective approaches or the definition of suitable optimization frameworks. Two innovative EA-based method for the synthesis of large thinned arrays and of compromise sum-difference sub-arrayed antennas are presented and discussed in this work where the flexibility and performance of EAs have been exploited to obtain effective and efficient designs.