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- W3037847341 abstract "To find multimodal solutions for the optimal design of an interior permanent magnet synchronous motor (IPMSM) for fuel cell electric vehicles, an autotuning elliptical niching genetic algorithm is proposed. With conventional autotuning niching genetic algorithms, some peaks are difficult to find because of a circular niche region. The proposed algorithm solves this problem by introducing an elliptical niche. The superior performance of the proposed algorithm is verified using test functions, and it is applied to the optimal design of an IPMSM for fuel cell electric vehicles." @default.
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- W3037847341 date "2020-01-01" @default.
- W3037847341 modified "2023-10-17" @default.
- W3037847341 title "Optimal Design of IPMSM for Fuel Cell Electric Vehicles Using Autotuning Elliptical Niching Genetic Algorithm" @default.
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- W3037847341 doi "https://doi.org/10.1109/access.2020.3004722" @default.
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