Genetic Algorithm-Oriented Optimization of Metasurface Designs for Polarization Control in 5G Applications

An effective optimization procedure employing genetic algorithms is presented in the current work to enable the design of metasurfaces with custom features concerning polarization control for 5G applications. The proposed approach focuses on optimizing the arrangement of small square metallic patches within an 8 x 8 array to construct the unit cell of the metasurface. By systematically exploring the design space, the genetic algorithm identifies optimal configurations of patch placement to achieve desired polarization transformations, while minimizing losses and maximizing efficiency. This process entails feeding the genetic algorithm with the appropriate numerical results obtained from the simulations of the configurations under test. Finally, the efficacy of the described methodology is demonstrated through the examination of various polarization manipulation scenarios, including rotation and transformation.