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Meta-model-based multi-objective optimization for robust color reproduction using hybrid diffraction gratings

Abstract : We propose an efficient and versatile optimization scheme, based on the combination of multi-objective genetic algorithms and neural-networks, to reproduce specific colors through the optimization of the geometrical parameters of metal-dielectric diffraction gratings. To illustrate and assess the performance of this approach, we tailor the chromatic response of a structure composed of three adjacent hybrid V-groove diffraction gratings. To be close to the experimental situation, we include the feasibility constraints imposed by the fabrication process. The strength of our approach lies in the possibility to simultaneously optimize different contradictory objectives, avoiding time-consuming electromagnetic calculations.
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https://hal-utt.archives-ouvertes.fr/hal-02467074
Contributor : Demetrio Macias <>
Submitted on : Tuesday, February 4, 2020 - 6:28:19 PM
Last modification on : Tuesday, October 6, 2020 - 4:30:49 PM
Long-term archiving on: : Wednesday, May 6, 2020 - 3:33:25 PM

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Soukaina Es-Saidi, Sylvain Blaize, Demetrio Macías. Meta-model-based multi-objective optimization for robust color reproduction using hybrid diffraction gratings. Optics Express, Optical Society of America - OSA Publishing, 2020, ⟨10.1364/OE.28.003388⟩. ⟨hal-02467074⟩

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