Design of Guided Mode Resonance Grating Filters Using Evolutionary Algorithms

Reflection guided-mode resonance (GMR) grating filters are the new type of the optical filters that are based on the guided-mode resonance phenomenon and have seen increasing demands in optical detectors, optical processors, couplers and so on. Careful selection of the structural parameters yields filters with high efficiency at a desired resonance frequency and low sidebands. Design of these elements with accurate spectral properties is a difficult task and is so interesting field for many researchers. In this paper a novel method using the meta-heuristic bat algorithm (BA) and efficient objective function is proposed for designing of this filter in the visible wavelength range. Simulation results show that the proposed method has high accuracy and reasonable computation time in comparison with other methods.