11 January 2016 Optimal design of plasmonic waveguide using multiobjective genetic algorithm
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Abstract
An approach for multiobjective optimal design of a plasmonic waveguide is presented. We use a multiobjective extension of a genetic algorithm to find the Pareto-optimal geometries. The design variables are the geometrical parameters of the waveguide. The objective functions are chosen as the figure of merit defined as the ratio between the propagation distance and effective mode size and the normalized coupling length between adjacent waveguides at the telecom wavelength of 1550 nm.
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)
Jaehoon Jung, "Optimal design of plasmonic waveguide using multiobjective genetic algorithm," Optical Engineering 55(1), 017103 (11 January 2016). https://doi.org/10.1117/1.OE.55.1.017103 . Submission:
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