Optimization of ring parameters of artificial magnetic resonators using Swarm intelligence and Hybrid Genetic Algorithm

Proliferation of wireless technology has made Electromagnetic Compatibility an indispensable field of research. The need for efficient system performance in a dynamic electromagnetic environment calls for accurate design of Electromagnetic shielding devices. Artificial magnetic resonators are miniature structures with negative permeability within a specific band. These resonators act as narrowband absorbers at wavelengths in the order of their dimensions. In this paper, the existing equivalent circuit models are discussed for three kinds of magnetic resonators: Multiple Split Ring Resonator, Spiral Resonator, and Labyrinth Resonator. The dependence of the resonant frequency on multiple geometric parameters of the rings is demonstrated. The design parameters of the rings are optimized using Particle Swarm Optimization (PSO) and the proposed Genetic Algorithm - Constrained Nonlinear Optimization Hybrid. These results have been supported by full wave simulations using Ansoft HFSS.