Photonic crystal notch-filter design using particle swarm optimization theory and finite-difference time-domain analysis

Abstract

We present an evolutionary design process of a photonic crystal notch filter using a particle swarm optimization (PSO) algorithm in conjunction with finite-difference time domain (FDTD). The notch-filter parameter is optimized by PSO, and a fitness function is evaluated by FDTD simulations to represent the performance of each candidate design. Using these methods, a filter with desired resonant wavelength is obtained by the optimization process. Then this optimized filter is analyzed and simulated by FDTD to validate the robustness of the algorithm.

© 2009 Optical Society of America

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