PARTICLE SWARM OPTIMIZATION FOR A METAMATERIAL SPIRAL RESONATOR

Soft computing techniques are emerging as highly efficient global optimization techniques in the field of electromagnetics and communication systems. These techniques have proved their efficiency in antenna engineering, wireless communication, absorber design and a few in the field of metamaterial structural analysis. Particle swarm optimization, although has been used recently in controls, is still new to the field of metamaterial science and technology. In this paper, particle swarm optimization (PSO) is used for design optimization of a spiral resonator (SR). Equivalent circuit analysis is used for the analytical model of the SR. The aim of particle swarm optimization is the estimation of structural parameters of the SR at a desired frequency range. A comparative study with other soft computing techniques w.r.t. accuracy and computational time is provided.