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Mixed-Integer Nonlinear Design Optimization of a Superconductive Magnet With Surrogate Functions

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4 Author(s)
Hemker, T. ; Dept. of Comput. Sci., Tech. Univ. Darmstadt, Darmstadt ; De Gersem, H. ; von Stryk, O. ; Weiland, T.

The numerical optimization of continuous parameters in electrotechnical design using electromagnetic field simulation is already standard. When integer-valued variables are involved, the complexity of the optimization problem rises drastically. In this paper, we describe a new sequential surrogate optimization approach for simulation-based mixed-integer nonlinear programming (NLP) problems. We apply the method for the optimization of combined integer- and real-valued geometrical parameters of the coils of a superconductive magnet.

Published in:

Magnetics, IEEE Transactions on  (Volume:44 ,  Issue: 6 )

Date of Publication:

June 2008

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