Simulation-based design improvement of a superconductive magnet by mixed-integer nonlinear surrogate optimization

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