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Yi-Rong Lin

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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. · 0 citations

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