2012
DOI: 10.3807/josk.2012.16.1.070
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Optimal Design of Dielectric-Filled Plasmonic Slot Waveguide with Genetic Algorithm

Abstract: An optimization methodology for designing a dielectric-filled plasmonic slot waveguide is presented. The genetic algorithm combined with a rigorous analysis based on the finite element method is used to optimize a nano-scaled plasmonic slot waveguide to have high mode confinement and a long propagation length, for which the objective function is defined as a figure of merit combining both propagation parameters.

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Cited by 2 publications
(1 citation statement)
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“…GAs are a subclass of evolutionary algorithms known as global search heuristics. They may be used to address a wide range of complicated issues that are difficult to solve using standard methods [21], [22]. A 'chromosome' is a possible solution to the problem.…”
Section: Optimization Of the Attenuation Constant 𝜶 𝟎 Using A Genetic...mentioning
confidence: 99%
“…GAs are a subclass of evolutionary algorithms known as global search heuristics. They may be used to address a wide range of complicated issues that are difficult to solve using standard methods [21], [22]. A 'chromosome' is a possible solution to the problem.…”
Section: Optimization Of the Attenuation Constant 𝜶 𝟎 Using A Genetic...mentioning
confidence: 99%