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

  • Dong-Kuk Lim
  • Dong-Kyun WooEmail author
Original Article


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.


Multi-objective Nondominated solution Surface-mounted permanent magnet synchronous motor Surrogate model 



This work was supported by the 2017 Research Fund of University of Ulsan.


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Copyright information

© The Korean Institute of Electrical Engineers 2019

Authors and Affiliations

  1. 1.Department of Electrical EngineeringUniversity of UlsanUlsanSouth Korea
  2. 2.Department of Electrical EngineeringYeungnam UniversityGyeongbukSouth Korea

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