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Multiobjective Pareto optimization of electromagnetic devices exploiting hybrid kriging

Multiobjective Pareto optimization of electromagnetic devices exploiting hybrid kriging
Multiobjective Pareto optimization of electromagnetic devices exploiting hybrid kriging
The paper focuses on resolving the storage issue of correlation matrices generated by kriging surrogate models in the context of electromagnetic optimization problems with many design variables and multiple objectives. A hybrid kriging approach that involves a direct algorithm in kriging is able to maintain memory requirements at a nearly constant level while offering high efficiency of searching for a global optimum. The feasibility and efficiency of this proposed methodology is demonstrated using an example of a classic two-variable analytic function and a new proposed benchmark TEAM multi-objective pareto optimization problem.
Kriging surrogate model, correlation matrices, hybrid kriging, direct algorithm, multi-objective pareto optimization
Xiao, Song
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Liu, G. Q.
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Zhang, K. L.
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Jing, Y. Z.
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Duan, J. H.
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Di Barba, Paolo
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Sykulski, Jan
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Xiao, Song
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Liu, G. Q.
d7cf4e31-f695-420a-a875-16c1284e4eb8
Zhang, K. L.
cf35fcd1-1d27-4f11-a57f-706ba99a4d7a
Jing, Y. Z.
767852e8-4a7a-4ac5-9594-941977e5a7fd
Duan, J. H.
9d589bee-9800-4527-8302-ab85c62f016a
Di Barba, Paolo
e618834b-ff8e-49e0-92b3-07a2cfe363dd
Sykulski, Jan
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb

Xiao, Song, Liu, G. Q., Zhang, K. L., Jing, Y. Z., Duan, J. H., Di Barba, Paolo and Sykulski, Jan (2017) Multiobjective Pareto optimization of electromagnetic devices exploiting hybrid kriging. 21st International Conference on the Computation of Electromagnetic Fields, Daejeon Convention Center, Korea, Republic of. 18 - 22 Jun 2017. 2 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

The paper focuses on resolving the storage issue of correlation matrices generated by kriging surrogate models in the context of electromagnetic optimization problems with many design variables and multiple objectives. A hybrid kriging approach that involves a direct algorithm in kriging is able to maintain memory requirements at a nearly constant level while offering high efficiency of searching for a global optimum. The feasibility and efficiency of this proposed methodology is demonstrated using an example of a classic two-variable analytic function and a new proposed benchmark TEAM multi-objective pareto optimization problem.

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COMPUMAG2017Digest(Song_Xiao) - Accepted Manuscript
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More information

Accepted/In Press date: 8 March 2017
Published date: June 2017
Venue - Dates: 21st International Conference on the Computation of Electromagnetic Fields, Daejeon Convention Center, Korea, Republic of, 2017-06-18 - 2017-06-22
Keywords: Kriging surrogate model, correlation matrices, hybrid kriging, direct algorithm, multi-objective pareto optimization
Organisations: EEE

Identifiers

Local EPrints ID: 408113
URI: http://eprints.soton.ac.uk/id/eprint/408113
PURE UUID: 5c67f7d1-381f-42f3-86aa-39b45c31285c
ORCID for Jan Sykulski: ORCID iD orcid.org/0000-0001-6392-126X

Catalogue record

Date deposited: 12 May 2017 04:03
Last modified: 05 Feb 2020 01:23

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