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- W2577006747 abstract "For a multi-objective optimization problem applied to the electric machine design, a new robust surrogate-assisted 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 by using a kriging surrogate model and an uncertainty consideration with worst case scenario. The outstanding performances of the proposed algorithm are verified by a test function. Furthermore, through the application of the optimal design process of the interior permanent magnet synchronous motor, the feasibility of this algorithm is verified." @default.
- W2577006747 created "2017-01-26" @default.
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- W2577006747 date "2016-11-01" @default.
- W2577006747 modified "2023-09-26" @default.
- W2577006747 title "A new robust surrogate-assisted multi-objective optimization algorithm for an IPMSM design" @default.
- W2577006747 cites W2003076348 @default.
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- W2577006747 doi "https://doi.org/10.1109/cefc.2016.7815908" @default.
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