title: Particle swarm optimization and its application to the design of diffraction grating filters.
abstract: Particle swarm optimization (PSO) is an evolutionary, easy-to-implement technique to design optical diffraction gratings. Design of reflection and transmission guided-mode resonance (GMR) grating filters using PSO is reported. The spectra of the designed filters are in good agreement with the design targets in a reasonable computation time. Also, filters are designed with a genetic algorithm (GA) and the results obtained by the GA and PSO are compared.
authors: Department of Electrical and Computer Engineering, University of Connecticut, Storrs, Connecticut 06269-2157, USA. saremi@engr.uconn.edu
authors: Mehrdad
authors: M
authors: Shokooh-Saremi
authors: Robert
authors: R
authors: Magnusson