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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 progress 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 largely improved by adding an extra layer of optimisation enhanced by a validation process.
77-78
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. XXIV Symposium Electromagnetic Phenomena in Nonlinear Circuits (EPNC), Helsinki, Finland. 27 - 30 Jun 2016. pp. 77-78 .

Record type: Conference or Workshop Item (Paper)

Abstract

The paper discusses some of the recent progress 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 largely improved by adding an extra layer of optimisation enhanced by a validation process.

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More information

Published date: July 2016
Venue - Dates: XXIV Symposium Electromagnetic Phenomena in Nonlinear Circuits (EPNC), Helsinki, Finland, 2016-06-27 - 2016-06-30
Organisations: EEE

Identifiers

Local EPrints ID: 401295
URI: http://eprints.soton.ac.uk/id/eprint/401295
PURE UUID: 10a7955b-a919-4f44-939f-da597b8740a6
ORCID for Jan Sykulski: ORCID iD orcid.org/0000-0001-6392-126X

Catalogue record

Date deposited: 07 Oct 2016 11:04
Last modified: 07 Oct 2020 02:26

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Contributors

Author: Yinjiang Li
Author: Mihai Rotaru
Author: Jan Sykulski ORCID iD

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