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An adaptive co-Kriging model is developed and in-corporated into heuristic optimization algorithm to be applied to optimal transposition design of power transformer windings. The sampling points in the Kriging consist of a few expensive and many cheap data to save the computational efforts while increasing modeling accuracy. A criterion on the minimal number of total sampling data is also proposed.
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