Parametric Optimization of Complementary Split-Ring Resonator Dimensions for Planar Antenna Size Miniaturization

In this paper, a flexible and a modular approach to design complementary split-ring resonator (CSRR) metamaterials is presented which is further applied for a planar antenna miniaturization. The design task is treated as an optimization problem and one of the well-known computational techniques, particle swarm optimization (PSO) is employed to identify the design dimensions of planar CSRR structure followed by a C-band antenna miniaturization. Two trained neural networks (NNs) make use of machine learning (ML) approach to reduce the design time. The proposed procedure is easy to implement and can be further employed to design similar or other distinct metamaterial structures.