Surrogate optimisation strategies for intraocular lens formula constant optimisation.

Achim Langenbucher Jascha A WendelsteinAlan CaylessPeter HoffmannNóra Szentmáry

Published in: Acta ophthalmologica (2024)

The SO proves to be a powerful adaptive nonlinear iteration algorithm for formula constant optimisation, even in formulae with one or more constants. It acts independently of a gradient and is in general able to search within a (box) constrained parameter space for the best solution, even where there are multiple local minima of the target function.

Keyphrases

human milk
machine learning
transcription factor
deep learning
binding protein
low birth weight
preterm infants
neural network
preterm birth