Jul 2026
AI-augmented optimization of electric machine parameters via permutation importance and dynamic sampling: a motor study
The framework is the first, to the best of the authors’ knowledge, to integrate explainable permutation importance with dynamically reweighted TPE sampling for constrained electric-machine optimization, simultaneously enhancing feasibility, performance and parameter diversity.
Yi-Rong Lin, Chang-Yi Kao, Nien-Yi Jan et al.
· Compel · 0 citations