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
July 2016
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.
28 Jun - 01 Jul 2016.
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Conference or Workshop Item
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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.
Text
EPNC 2016 paper.pdf
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Published date: July 2016
Venue - Dates:
XXIV Symposium Electromagnetic Phenomena in Nonlinear Circuits (EPNC), Helsinki, Finland, 2016-06-28 - 2016-07-01
Organisations:
EEE
Identifiers
Local EPrints ID: 401295
URI: http://eprints.soton.ac.uk/id/eprint/401295
PURE UUID: 10a7955b-a919-4f44-939f-da597b8740a6
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Date deposited: 07 Oct 2016 11:04
Last modified: 16 Mar 2024 02:34
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Contributors
Author:
Yinjiang Li
Author:
Mihai Rotaru
Author:
Jan Sykulski
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