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• W2118068721 abstract "In this paper, a novel multiobjective optimization method based on a genetic-fuzzy algorithm (GFA) is proposed. The new GFA method is used for optimal design of a switched reluctance motor (SRM) with two objective functions: high efficiency and low torque ripple. The results of the optimal design for an 8/6, four-phase, 4 kW, 250 V, 1500 r.p.m. SRM show improvement in both efficiency and torque ripple of the motor." @default.
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• W2118068721 date "2002-05-01" @default.
• W2118068721 modified "2023-10-05" @default.
• W2118068721 title "Multiobjective optimization method based on a genetic algorithm for switched reluctance motor design" @default.
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• W2118068721 doi "https://doi.org/10.1109/20.999126" @default.
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