Multi-objective particle swarm optimization for the realization of a low profile bandpass frequency selective surface

This paper presents a new application of evolutionary optimization algorithm to design an extremely low profile bandpass frequency selective surface (FSS). A particle swarm optimization algorithm is interfaced with a commercial time-domain solver to design and optimize a second-order bandpass FSS at 10 GHz with 20% fractional bandwidth. Four structure variables are defined in the algorithm to be optimized for realization of a grid of capacitive patches and inductive strips, which constitute the bandpass FSS. Optimization led to a FSS with a total thickness of λ_o/65.