MULTI-OBJECTIVE GENETIC ALGORITHM OPTIMIZATION OF FREQUENCY SELECTIVE METASURFACES TO ENGINEER KU-PASSBAND FILTER RESPONSES

Abstract

Metasurfaces enable a new avenue to create electrically thin multi-layer structures, on the order of one-tenth the central wavelength (λc), with engineered responses. Altering the subwavelength spatial features, e.g., λc/80, on the surface leads to highly tunable electromagnetic scattering characteristics. In this work, we develop an ultra-wideband frequency selective metasurface (FSmS) that completely encompasses the Ku-band from 12–18 GHz with steep band edges. The geometrical structure of the metasurfaces is optimized by a multi-objective genetic algorithm mimicking evolutionary processes. Analysis is performed from oneto four-layer metasurface structures with various thicknesses. Computational electromagnetic simulations for these frequency selective metasurfaces are presented, discussed, and experimentally validated. The concepts presented in this work can be applied to design metasurfaces and metamaterials from the microwave to the optical regimes.