Multiobjective sequential optimization method for the design of industrial electromagnetic devices

Lei, G; Chen, XM; Zhu, JG; Guo, YG; Xu, W; Shao, KR

Multiobjective sequential optimization method for the design of industrial electromagnetic devices

Lei, G

Chen, XM Zhu, JG

Guo, YG

Xu, W Shao, KR

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Magnetics, 2012, 48 (11), pp. 4538 - 4541
Issue Date:: 2012-10-29

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Field	Value	Language
dc.contributor.author	Lei, G https://orcid.org/0000-0002-8369-6802	en_US
dc.contributor.author	Chen, XM	en_US
dc.contributor.author	Zhu, JG https://orcid.org/0000-0002-9763-4047	en_US
dc.contributor.author	Guo, YG https://orcid.org/0000-0001-6182-0684	en_US
dc.contributor.author	Xu, W	en_US
dc.contributor.author	Shao, KR	en_US
dc.date.issued	2012-10-29	en_US
dc.identifier.citation	IEEE Transactions on Magnetics, 2012, 48 (11), pp. 4538 - 4541	en_US
dc.identifier.issn	0018-9464	en_US
dc.identifier.uri	http://hdl.handle.net/10453/23058
dc.description.abstract	A multiobjective sequential optimization method (MSOM) is presented to deal with practical design problems of industrial electromagnetic devices. MSOM consists of a sequential optimization strategy of multiobjective optimization model and a modified central composite design (CCD) sampling method. To improve the optimization efficiency, Kriging model is employed to construct the approximate multiobjective optimization models. Then a modified CCD sampling method is presented to update the sample sets with the obtained Pareto optimal points and Kriging models. Thereafter, by investigating a test function and a three-dimensional permanent magnet transverse flux machine, it can be found that the proposed method is efficient, and the computation cost of finite element analysis can be saved remarkably. © 1965-2012 IEEE.	en_US
dc.relation.ispartof	IEEE Transactions on Magnetics	en_US
dc.relation.isbasedon	10.1109/TMAG.2012.2202311	en_US
dc.subject.classification	Applied Physics	en_US
dc.title	Multiobjective sequential optimization method for the design of industrial electromagnetic devices	en_US
dc.type	Journal Article
utslib.citation.volume	11	en_US
utslib.citation.volume	48	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	02 Physical Sciences	en_US
utslib.for	09 Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CCET - Centre for Clean Energy Technology
utslib.copyright.status	closed_access
pubs.issue	11	en_US
pubs.publication-status	Published	en_US
pubs.volume	48	en_US

Abstract:

A multiobjective sequential optimization method (MSOM) is presented to deal with practical design problems of industrial electromagnetic devices. MSOM consists of a sequential optimization strategy of multiobjective optimization model and a modified central composite design (CCD) sampling method. To improve the optimization efficiency, Kriging model is employed to construct the approximate multiobjective optimization models. Then a modified CCD sampling method is presented to update the sample sets with the obtained Pareto optimal points and Kriging models. Thereafter, by investigating a test function and a three-dimensional permanent magnet transverse flux machine, it can be found that the proposed method is efficient, and the computation cost of finite element analysis can be saved remarkably. © 1965-2012 IEEE.

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