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Particle swarm optimization and its application to the design of diffraction grating filters
Mehrdad Shokooh-Saremi1, Robert Magnusson
1Department of Electrical and Computer Engineering, University of Connecticut, Storrs, Connecticut 06269-2157, USA. saremi@engr.uconn.edu
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.
