Abstract
An efficient optimization approach is proposed to design plasmonic nanoslit array biosensor based on extraordinary optical transmission using Kriging surrogate models. The particle swarm optimization is adopted as a global optimization tool, which searches for optimal geometry with high sensitivity and narrow bandwidth. The design variables are the width and height of the slit, respectively, and objective function is a figure of merit defined as a ratio between peak wavelength shift and 3 dB bandwidth of optical transmission spectrum.
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