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
Original Manuscript: January 25, 2009
Manuscript Accepted: January 26, 2009
Published: March 30, 2009
M. Djavid, S. A. Mirtaheri, and M. S. Abrishamian, "Photonic crystal notch-filter design using particle swarm optimization theory and finite-difference time-domain analysis," J. Opt. Soc. Am. B 26, 849-853 (2009)