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Adaptive Weighted Expected Improvement With Rewards Approach in Kriging Assisted Electromagnetic Design

Adaptive Weighted Expected Improvement With Rewards Approach in Kriging Assisted Electromagnetic Design
Adaptive Weighted Expected Improvement With Rewards Approach in Kriging Assisted Electromagnetic Design
The paper explores kriging surrogate modelling combined with expected improvement approach for the design of electromagnetic devices. A novel algorithm based on the concept of rewards is proposed, tested and demonstrated in the context of TEAM Workshop Problem 22. Balancing exploration and exploitation is emphasized and robustness of the design considered.
0018-9464
2057-2060
Xiao, Song
6ffa9657-513e-4b86-86a2-e560d3c09c72
Rotaru, M.
c53c5038-2fed-4ace-8fad-9f95d4c95b7e
Sykulski, J.K.
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
Xiao, Song
6ffa9657-513e-4b86-86a2-e560d3c09c72
Rotaru, M.
c53c5038-2fed-4ace-8fad-9f95d4c95b7e
Sykulski, J.K.
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb

Xiao, Song, Rotaru, M. and Sykulski, J.K. (2013) Adaptive Weighted Expected Improvement With Rewards Approach in Kriging Assisted Electromagnetic Design. IEEE Transactions on Magnetics, 49 (5), Spring Issue, 2057-2060. (doi:10.1109/TMAG.2013.2240662).

Record type: Article

Abstract

The paper explores kriging surrogate modelling combined with expected improvement approach for the design of electromagnetic devices. A novel algorithm based on the concept of rewards is proposed, tested and demonstrated in the context of TEAM Workshop Problem 22. Balancing exploration and exploitation is emphasized and robustness of the design considered.

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IEEEvol49no5May2013page2057.pdf - Version of Record
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Published date: May 2013
Organisations: EEE

Identifiers

Local EPrints ID: 352697
URI: http://eprints.soton.ac.uk/id/eprint/352697
DOI: doi:10.1109/TMAG.2013.2240662
ISSN: 0018-9464
PURE UUID: 92f0f3e5-305b-4071-878c-161629eae5f0
ORCID for J.K. Sykulski: ORCID iD orcid.org/0000-0001-6392-126X

Catalogue record

Date deposited: 17 May 2013 08:05
Last modified: 15 Mar 2024 02:34

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Contributors

Author: Song Xiao
Author: M. Rotaru
Author: J.K. Sykulski ORCID iD

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