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Two-Level Surrogate-Assisted Differential Evolution Multi-Objective Optimization of Electric Machines Using 3-D FEA.
- Source :
-
IEEE Transactions on Magnetics . Nov2018, Vol. 54 Issue 11, p1-5. 5p. - Publication Year :
- 2018
-
Abstract
- A two-level surrogate-assisted optimization algorithm is proposed for electric machine design using 3-D finite-element analysis (FEA). The algorithm achieves the optima with much fewer FEA evaluations than conventional methods. It is composed of interior and exterior levels. The exploration is performed mainly in the interior level, which evaluates hundreds of designs employing affordable kriging models. Then, the most promising designs are evaluated in the exterior loop with expensive 3-D FEA models. The sample pool is constructed in a self-adjustable and dynamic way. A hybrid stopping criterion is used to avoid unnecessary expensive function evaluations. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00189464
- Volume :
- 54
- Issue :
- 11
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Magnetics
- Publication Type :
- Academic Journal
- Accession number :
- 132478474
- Full Text :
- https://doi.org/10.1109/TMAG.2018.2856858