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Optical Engineering

Optimal design of plasmonic waveguide using multiobjective genetic algorithm
Author(s): Jaehoon Jung
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Paper 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.

Paper Details

Date Published: 11 January 2016
PDF: 5 pages
Opt. Eng. 55(1) 017103 doi: 10.1117/1.OE.55.1.017103
Published in: Optical Engineering Volume 55, Issue 1
Show Author Affiliations
Jaehoon Jung, Dankook Univ. (Republic of Korea)


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