A benchmark TEAM problem for multiobjective pareto optimization of electromagnetic devices
A benchmark TEAM problem for multiobjective pareto optimization of electromagnetic devices
The paper proposes a new benchmark for multiobjective optimization. A solution is furnished which has enabled an extensive search and reliable estimation of the shape of the Pareto front. Field uniformity and sensitivity are considered in the context of robust design. It is argued that the benchmark will provide a challenging target for new algorithms, especially those involving numerical modelling using finite element codes where the number of objective function calls needs to be minimized for practical designs.
Design optimization, multi-objective optimization, sensitivity analysis, Pareto front
Di Barba, Paolo
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Mognaschi, Maria Evelina
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Xiao, Song
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Lowther, David A.
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Sykulski, Jan
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June 2017
Di Barba, Paolo
e618834b-ff8e-49e0-92b3-07a2cfe363dd
Mognaschi, Maria Evelina
83f56dbc-0ab4-400c-93fd-c51d7827b217
Xiao, Song
232b8927-1f48-44e1-8b70-700241f082d0
Lowther, David A.
0cf19bca-4eac-4b03-a916-fe9b5df0dfc0
Sykulski, Jan
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
Di Barba, Paolo, Mognaschi, Maria Evelina, Xiao, Song, Lowther, David A. and Sykulski, Jan
(2017)
A benchmark TEAM problem for multiobjective pareto optimization of electromagnetic devices.
21st International Conference on the Computation of Electromagnetic Fields, Daejeon Convention Center, Daejeon, Korea, Republic of.
18 - 22 Jun 2017.
2 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
The paper proposes a new benchmark for multiobjective optimization. A solution is furnished which has enabled an extensive search and reliable estimation of the shape of the Pareto front. Field uniformity and sensitivity are considered in the context of robust design. It is argued that the benchmark will provide a challenging target for new algorithms, especially those involving numerical modelling using finite element codes where the number of objective function calls needs to be minimized for practical designs.
Text
ID-795
- Accepted Manuscript
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, Daejeon, Korea, Republic of, 2017-06-18 - 2017-06-22
Keywords:
Design optimization, multi-objective optimization, sensitivity analysis, Pareto front
Organisations:
EEE
Identifiers
Local EPrints ID: 408180
URI: http://eprints.soton.ac.uk/id/eprint/408180
PURE UUID: 1ec3453b-1801-486c-b7e6-9c5196d4ea05
Catalogue record
Date deposited: 16 May 2017 04:02
Last modified: 06 Jun 2024 01:32
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Contributors
Author:
Paolo Di Barba
Author:
Maria Evelina Mognaschi
Author:
Song Xiao
Author:
David A. Lowther
Author:
Jan Sykulski
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