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Evolutionary algorithms converge towards evolved biological photonic structures

Abstract : Nature features a plethora of extraordinary photonic architectures that have been optimized through natural evolution. While numerical optimization is increasingly and successfully used in photonics, it has yet to replicate any of these complex naturally occurring structures. Using evolutionary algorithms directly inspired by natural evolution, we have retrieved emblematic natural photonic structures, indicating how such regular structures might have spontaneously emerged in nature and to which precise optical or fabrication constraints they respond. Comparisons between algorithms show that recombination between individuals inspired by sexual reproduction confers a clear advantage in this context of modular problems and suggest further ways to improve the algorithms. Such an in silico evolution can also suggest original and elegant solutions to practical problems, as illustrated by the design of counter-intuitive anti-reeective coating for solar cells.
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Contributor : Antoine Moreau Connect in order to contact the contributor
Submitted on : Monday, August 13, 2018 - 7:05:13 PM
Last modification on : Saturday, June 25, 2022 - 10:32:58 PM
Long-term archiving on: : Wednesday, November 14, 2018 - 2:46:13 PM


  • HAL Id : hal-01856961, version 1


Mamadou Aliou Barry, Vincent Berthier, Marie-Claire Cambourieux, Rémi Pollès, Bodo D. Wilts, et al.. Evolutionary algorithms converge towards evolved biological photonic structures. 2018. ⟨hal-01856961⟩



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