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Correlation matrices in kriging assisted optimisation of electromagnetic devices

Correlation matrices in kriging assisted optimisation of electromagnetic devices
Correlation matrices in kriging assisted optimisation of electromagnetic devices
Kriging surrogate modelling offers efficient decision making assistance on where to place the next point for evaluation during optimisation. This is particularly helpful in the design of electromagnetic devices where computationally expensive finite element modelling needs to be used. The disadvantage, however, is that correlation matrices are required which, for problems with many design variables and multiple objectives, may grow in size leading to the need for page swapping and slowing down of what in principle should be a very fast process. This paper addresses the issue of how to exploit the structure of these matrices to reduce computational burden.
Design optimisation, pareto optimum, kriging.
Xiao, Song
6ffa9657-513e-4b86-86a2-e560d3c09c72
Li, Yinjiang
08755845-7050-41e0-be07-e9d1980d83bd
Rotaru, M.
c53c5038-2fed-4ace-8fad-9f95d4c95b7e
Sykulski, J.K.
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
Xiao, Song
6ffa9657-513e-4b86-86a2-e560d3c09c72
Li, Yinjiang
08755845-7050-41e0-be07-e9d1980d83bd
Rotaru, M.
c53c5038-2fed-4ace-8fad-9f95d4c95b7e
Sykulski, J.K.
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb

Xiao, Song, Li, Yinjiang, Rotaru, M. and Sykulski, J.K. (2014) Correlation matrices in kriging assisted optimisation of electromagnetic devices. Ninth International Conference on Computation in Electromagnetics CEM 2014, London, United Kingdom. 30 - 31 Mar 2014. 2 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

Kriging surrogate modelling offers efficient decision making assistance on where to place the next point for evaluation during optimisation. This is particularly helpful in the design of electromagnetic devices where computationally expensive finite element modelling needs to be used. The disadvantage, however, is that correlation matrices are required which, for problems with many design variables and multiple objectives, may grow in size leading to the need for page swapping and slowing down of what in principle should be a very fast process. This paper addresses the issue of how to exploit the structure of these matrices to reduce computational burden.

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Published date: 31 March 2014
Venue - Dates: Ninth International Conference on Computation in Electromagnetics CEM 2014, London, United Kingdom, 2014-03-30 - 2014-03-31
Keywords: Design optimisation, pareto optimum, kriging.
Organisations: EEE

Identifiers

Local EPrints ID: 364291
URI: http://eprints.soton.ac.uk/id/eprint/364291
PURE UUID: 0b3562f1-ea36-4042-aeeb-917f3c8cc600
ORCID for J.K. Sykulski: ORCID iD orcid.org/0000-0001-6392-126X

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Date deposited: 15 Apr 2014 10:12
Last modified: 07 Oct 2020 02:31

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