Published by the Institute of Electrical and Electronics Engineers for the Magnetics Group
IEEE Transactions on Magnetics vol:44 issue:6 pages:1110-1113
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