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Minimal function calls approach with on-line learning and dynamic weighting for computationally intensive design optimization

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3 Author(s)
Sykulski, J.K. ; Dept. of Electr. Eng., Southampton Univ., UK ; Al-Khoury, A.H. ; Goddard, K.F.

Design/optimization processes requiring intensive finite-element computation can be made significantly more efficient, while preserving good accuracy, by combining the Response Surface Methodology with on-line learning and dynamic weighting. The paper presents such a new development and uses the multi-parameter design of a brushless pm motor to illustrate the approach

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Magnetics, IEEE Transactions on  (Volume:37 ,  Issue: 5 )