Yi-Rong Lin

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.