A New Surrogate-assisted Robust Multi-objective Optimization Algorithm for an Electrical Machine Design

For a multi-objective optimization problem applied to the electric machine design, a new surrogate-assisted robust algorithm is proposed in this research. The proposed algorithm can find a robust and well-distributed Pareto front set rapidly and precisely for robust nondominated solutions using a su...

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Bibliographic Details
Published in:Journal of electrical engineering & technology 2019, 14(3), , pp.1247-1254
Main Authors: Lim, Dong-Kuk, Woo, Dong-Kyun
Format: Article
Language:English
Subjects:
Electrical Engineering
Electrical Machines and Networks
Electronics and Microelectronics
Engineering
Instrumentation
Original Article
Power Electronics
전기공학
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Summary:For a multi-objective optimization problem applied to the electric machine design, a new surrogate-assisted robust algorithm is proposed in this research. The proposed algorithm can find a robust and well-distributed Pareto front set rapidly and precisely for robust nondominated solutions using a surrogate model and an uncertainty consideration with a worst-case scenario. The outstanding performances of the proposed algorithm are verified by test functions. Furthermore, through the application of the optimal design process of a surface-mounted permanent magnet synchronous motor for an electric bicycle, the feasibility of this algorithm is verified.
ISSN:1975-0102
2093-7423
DOI:10.1007/s42835-019-00120-1