Design of customized fractal FSS

A Novel design approach is proposed for designing customized fractal frequency selective surfaces (FSS) by combining the merits of Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO). The trained ANN developed for analysis of fractal FSS is embedded in the optimization loop of PSO to find out the design dimensions of the unit cell of fractal FSS for user-defined stop band frequencies. The developed methodology is tested with Sierpinski carpet as the candidate structure and the effectiveness of the developed approach is confirmed by the simulation results.