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An adaptive response surface method with Latin hypercube sampling strategy is employed to optimize a magnet pole shape of large-scale brushless direct current (BLDC) motor to minimize the cogging torque. The proposed algorithm consists of the multi-objective Pareto optimization and (1+ lambda) evolution strategy to find the global optimal points with relatively fewer sampling data. In the adaptive...
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