Surrogate-Assisted Optimization of Metamaterial Devices for Advanced Antenna Systems

The synthesis of metamaterial devices able to enhance the features (radiation, size, etc.) of advanced antenna system is addressed in this work through an innovative surrogate-assisted optimization strategy. The design technique, which belongs to the class of System-by-Design methodologies, integrates a multi-agent cooperative evolutionary optimization technique with a surrogate model used to predict the value of the cost function (mismatch between desired and obtained radiation features) without requiring full-wave numerical simulations at each iteration of the iterative search procedure. The effectiveness of the introduced approach is preliminary validated in the design of an inhomogeneous isotropic metamaterial lens devoted to the miniaturization of a linear array