Particle swarm optimisation strategies for IOL formula constant optimisation.

Achim Langenbucher Nóra SzentmáryAlan CaylessJascha A WendelsteinPeter Hoffmann

Published in: Acta ophthalmologica (2023)

The PSO appears to be a powerful adaptive nonlinear iteration algorithm for formula constant optimisation even in formulae with more than 1 constant. It acts independently of an analytical or numerical gradient and is in general able to search for the best solution even with multiple local minima of the target function.

Keyphrases

human milk
machine learning
deep learning
mass spectrometry
neural network