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

Hemker, Thomas and De Gersem, Herbert and Stryk, Oskar von and Weiland, Thomas (2007):
Mixed-Integer Nonlinear Design Optimization of a Superconductive Magnet with Surrogate Functions.
In: IEEE Transactions on Magnetics, pp. 1110-1113, 44, (6), [Article]

Abstract

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 problems. We apply the method for the optimization of combined integer- and real-valued geometrical parameters of the coils of a superconductive magnet.

Item Type: Article
Erschienen: 2007
Creators: Hemker, Thomas and De Gersem, Herbert and Stryk, Oskar von and Weiland, Thomas
Title: Mixed-Integer Nonlinear Design Optimization of a Superconductive Magnet with Surrogate Functions
Language: English
Abstract:

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 problems. We apply the method for the optimization of combined integer- and real-valued geometrical parameters of the coils of a superconductive magnet.

Journal or Publication Title: IEEE Transactions on Magnetics
Volume: 44
Number: 6
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute of Electromagnetic Field Theory (from 01.01.2019 renamed Institute for Accelerator Science and Electromagnetic Fields)
20 Department of Computer Science
20 Department of Computer Science > Simulation, Systems Optimization and Robotics Group
Date Deposited: 14 Mar 2016 17:03
Additional Information:

TEMF-Pub-DB TEMF001716

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