Metamodeling of high-contrast-index gratings for color reproduction

We propose a metamodel-based optimization technique to tailor the chromatic response of high-contrast-index gratings. The algorithm, which couples a population-based metaheuristic with a neural network, is used to retrieve the optimal geometrical parameters of a grating to reproduce a prescribed col...

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Bibliographic Details
Published inJournal of the Optical Society of America. A, Optics, image science, and vision Vol. 36; no. 1; p. 79
Main Authors Kalt, Victor, González-Alcalde, Alma K, Es-Saidi, Soukaina, Salas-Montiel, Rafael, Blaize, Sylvain, Macías, Demetrio
Format Journal Article
LanguageEnglish
Published United States 01.01.2019
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Summary:We propose a metamodel-based optimization technique to tailor the chromatic response of high-contrast-index gratings. The algorithm, which couples a population-based metaheuristic with a neural network, is used to retrieve the optimal geometrical parameters of a grating to reproduce a prescribed color. By means of some examples, we assess the possibilities and limitations of our optimization scheme. The numerical evidence found shows that the metamodel approach offers an alternative to traditional metaheuristic techniques that not only provides the best solution for a given geometry and a material but also significantly improves the computing time required for the optimization process.
ISSN:1520-8532
DOI:10.1364/JOSAA.36.000079