The University of Southampton
University of Southampton Institutional Repository

Robust optimization utilizing the second-order design sensitivity information

Robust optimization utilizing the second-order design sensitivity information
Robust optimization utilizing the second-order design sensitivity information
This paper presents an effective methodology for robust optimization of electromagnetic devices. To achieve the goal, the method improves the robustness of the minimum of the objective function chosen as a design solution by minimizing the second-order sensitivity information, called a gradient index (GI) and defined by a function of gradients of performance functions with respect to uncertain variables. The constraint feasibility is also enhanced by adding a GI corresponding to the constraint value. The distinctive feature of the method is that it requires neither statistical information on design variables nor calculation of the performance reliability during the robust optimization process. The validity of the proposed method is tested with the TEAM Workshop Problem 22
optimization, robust optimization, sensitivity analysis
0018-9464
3117-3120
Kim, Nam-Kyung
bf59c1a7-a705-40e1-94fd-ba195df3e06f
Kim, Dong-Hun
a320b5a0-1b03-45df-8564-2b7b61a776b0
Kim, Dong-Wook
252df2be-3037-413e-865e-03bffdcfacea
Kim, Heung-Geun
99ce1213-8bde-41cc-a9b1-495be6ec97e8
Lowther, D.A.
cfcdbf42-4450-4742-b6b7-591d16adfdda
Sykulski, J.K.
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
Kim, Nam-Kyung
bf59c1a7-a705-40e1-94fd-ba195df3e06f
Kim, Dong-Hun
a320b5a0-1b03-45df-8564-2b7b61a776b0
Kim, Dong-Wook
252df2be-3037-413e-865e-03bffdcfacea
Kim, Heung-Geun
99ce1213-8bde-41cc-a9b1-495be6ec97e8
Lowther, D.A.
cfcdbf42-4450-4742-b6b7-591d16adfdda
Sykulski, J.K.
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb

Kim, Nam-Kyung, Kim, Dong-Hun, Kim, Dong-Wook, Kim, Heung-Geun, Lowther, D.A. and Sykulski, J.K. (2010) Robust optimization utilizing the second-order design sensitivity information. IEEE Transactions on Magnetics, 46 (8), 3117-3120. (doi:10.1109/TMAG.2010.2043719).

Record type: Article

Abstract

This paper presents an effective methodology for robust optimization of electromagnetic devices. To achieve the goal, the method improves the robustness of the minimum of the objective function chosen as a design solution by minimizing the second-order sensitivity information, called a gradient index (GI) and defined by a function of gradients of performance functions with respect to uncertain variables. The constraint feasibility is also enhanced by adding a GI corresponding to the constraint value. The distinctive feature of the method is that it requires neither statistical information on design variables nor calculation of the performance reliability during the robust optimization process. The validity of the proposed method is tested with the TEAM Workshop Problem 22

Text
IEEE_Mag_v46n8_2010_p3117.pdf - Version of Record
Download (494kB)

More information

Published date: August 2010
Keywords: optimization, robust optimization, sensitivity analysis
Organisations: EEE

Identifiers

Local EPrints ID: 271462
URI: http://eprints.soton.ac.uk/id/eprint/271462
ISSN: 0018-9464
PURE UUID: 5a290b7a-7ce2-43e7-bd30-48ec077b78c0
ORCID for J.K. Sykulski: ORCID iD orcid.org/0000-0001-6392-126X

Catalogue record

Date deposited: 05 Aug 2010 15:39
Last modified: 10 Dec 2019 01:59

Export record

Altmetrics

Contributors

Author: Nam-Kyung Kim
Author: Dong-Hun Kim
Author: Dong-Wook Kim
Author: Heung-Geun Kim
Author: D.A. Lowther
Author: J.K. Sykulski ORCID iD

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×