Sample-efficient Deep Learning for Surrogate-assisted Evolutionary Optimization of Nanostructures

Published: 30-04-2020| Version 1 | DOI: 10.17632/8h832nrkfy.1
Ravi hegde


A Deep Neural Network surrogate-assisted Differential Evolution algorithm for a broadband anti-reflection coating thin-film multilayer optic design. Novel training loss functions, that emphasize a model's ability to predict a structurally similar response, are used. The folder makes available the code, jupyter notebooks, datasets, plotting routines for data display.