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1. Modeling Finite-Element Constraint to Run an Electrical Machine Design Optimization Using Machine Learning.

Author

Arnoux, Pierre-Hadrien, Caillard, Pierre, and Gillon, Frederic

Subjects
*FINITE element method, *ELECTRIC machinery -- Design & construction, *MACHINE learning, *MATHEMATICAL optimization, *STATISTICAL models
Abstract

This paper proposes a method to the model constraints from different models to run an optimization over models with different granularities. Through machine learning, the proposed method has proven to be able to accurately map the constraints and minimize the number of call to the model. It handles both continuous and discrete variables and mixes design rules to statistic approach to create a surrogate of the model. [ABSTRACT FROM PUBLISHER]

Published
2015
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