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Kriging based robust optimisation algorithm for minimax problems in electromagnetics

Kriging based robust optimisation algorithm for minimax problems in electromagnetics
Kriging based robust optimisation algorithm for minimax problems in electromagnetics
The paper discusses some of the recent advances in kriging based worst-case design optimisation and proposes a new two-stage approach to solve practical problems. The efficiency of the infill points allocation is improved significantly by adding an extra layer of optimisation enhanced by a validation process.
Worst-case optimisation, Minimax problems, Kriging, Robust design
1427-4221
843-854
Li, Yinjiang
035e8693-c6e6-4a91-8e10-9232fd0c3112
Rotaru, Mihai
c53c5038-2fed-4ace-8fad-9f95d4c95b7e
Sykulski, Jan
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
Li, Yinjiang
035e8693-c6e6-4a91-8e10-9232fd0c3112
Rotaru, Mihai
c53c5038-2fed-4ace-8fad-9f95d4c95b7e
Sykulski, Jan
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb

Li, Yinjiang, Rotaru, Mihai and Sykulski, Jan (2016) Kriging based robust optimisation algorithm for minimax problems in electromagnetics. Archives of Electrical Engineering, 65 (4), 843-854. (doi:10.1515/aee-2016-0059).

Record type: Article

Abstract

The paper discusses some of the recent advances in kriging based worst-case design optimisation and proposes a new two-stage approach to solve practical problems. The efficiency of the infill points allocation is improved significantly by adding an extra layer of optimisation enhanced by a validation process.

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aee-2016-0059 - Version of Record
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More information

Accepted/In Press date: 12 September 2016
e-pub ahead of print date: 25 November 2016
Published date: 1 December 2016
Keywords: Worst-case optimisation, Minimax problems, Kriging, Robust design
Organisations: Electronics & Computer Science, EEE

Identifiers

Local EPrints ID: 406902
URI: http://eprints.soton.ac.uk/id/eprint/406902
ISSN: 1427-4221
PURE UUID: ddc3a1cf-f619-4899-afb4-ef07c33d6296
ORCID for Jan Sykulski: ORCID iD orcid.org/0000-0001-6392-126X

Catalogue record

Date deposited: 25 Mar 2017 02:07
Last modified: 29 Oct 2019 02:11

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