13 citations · 18 across the 2 of their papers we have counts for
2 papers
cs.CE2022★ 13 cited
Multi-Objective Yield Optimization for Electrical Machines using Machine Learning
Morten Huber, Mona Fuhrländer, Sebastian Schöps
This work deals with the design optimization of electrical machines under the consideration of manufacturing uncertainties. In order to efficiently quantify the uncertainty, blackb…
cs.LG2020★ 5 cited
Yield Optimization using Hybrid Gaussian Process Regression and a Genetic Multi-Objective Approach
Mona Fuhrländer, Sebastian Schöps
Quantification and minimization of uncertainty is an important task in the design of electromagnetic devices, which comes with high computational effort. We propose a hybrid approa…