Affiliations: [a] ABB Switzerland Ltd. Corporate Research,
Baden-Dättwil, Switzerland | [b] Graz University of Technology, Institute for
Fundamentals and Theory in Electrical Engineering, Graz, Austria
Correspondence:
[*]
Corresponding authors: Jasmin Smajic, ABB Switzerland Ltd.
Corporate Research, Segelhofstrasse 1, CH-5405 Baden-Dättwil, Switzerland.
E-mail: Jasmin.Smajic@ch.abb.com. Christian Magele, Graz University of
Technology, Institute for Fundamentals and Theory in Electrical Engineering,
Kopernikusgasse 24/3, A-8010 Graz, Austria. E-mail: Christian.Magele@TUGraz.at
Abstract: Magnetic shielding and shunting in industrial devices is crucial for
keeping stray losses and hot-spot appearances as low as possible. Nevertheless,
the additional costs for magnetic shunts and conductive shields have to be
taken into account. Therefore, an optimal trade-off between a remarkable
reduction of the stray losses and the design and position of the shielding
devices has to be found. A higher order evolution strategy is applied to
perform this task. The relevant objectives are merged into a single number by
applying a fuzzy membership function to each objective, respectively. These
membership functions can be implemented as static ones or in a way, that they
adjust themselves dynamically during the optimization process. In general
multi-objective problems show a number of local solutions besides the global
one and it is worth to investigate as many of the local solutions as possible
as well. Therefore, a most desirable behaviour would be if the optimization
strategy behaves globally and yields additional information about local minima
detected on the way to the global solution. This goal can be achieved by
clustering the population prior to the recombination process and by performing
the recombination in a cluster sensitive way.
