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A benchmark TEAM problem for multi-objective Pareto optimization of electromagnetic devices

A benchmark TEAM problem for multi-objective Pareto optimization of electromagnetic devices
A benchmark TEAM problem for multi-objective Pareto optimization of electromagnetic devices
This paper proposes a new benchmark for multi-objective 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 modeling using finite-element codes where the number of objective function calls needs to be minimized for practical design processes.
Design optimization, Multi-Objective Optimization, Pareto front, Sensitivity Analysis
0018-9464
Di Barba, Paolo
e618834b-ff8e-49e0-92b3-07a2cfe363dd
Mognaschi, Maria Evelina
0f533d8a-43ad-46b9-90b2-94e8ef1214b0
Lowther, David A.
338be876-a7a8-4109-bc61-c6f984173f07
Sykulski, Jan K.
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
Di Barba, Paolo
e618834b-ff8e-49e0-92b3-07a2cfe363dd
Mognaschi, Maria Evelina
0f533d8a-43ad-46b9-90b2-94e8ef1214b0
Lowther, David A.
338be876-a7a8-4109-bc61-c6f984173f07
Sykulski, Jan K.
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb

Di Barba, Paolo, Mognaschi, Maria Evelina, Lowther, David A. and Sykulski, Jan K. (2017) A benchmark TEAM problem for multi-objective Pareto optimization of electromagnetic devices. IEEE Transactions on Magnetics. (doi:10.1109/TMAG.2017.2750901).

Record type: Article

Abstract

This paper proposes a new benchmark for multi-objective 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 modeling using finite-element codes where the number of objective function calls needs to be minimized for practical design processes.

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IEEE-TMag-Paolo-2017 - Accepted Manuscript
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More information

Accepted/In Press date: 21 August 2017
e-pub ahead of print date: 2 October 2017
Keywords: Design optimization, Multi-Objective Optimization, Pareto front, Sensitivity Analysis

Identifiers

Local EPrints ID: 414816
URI: http://eprints.soton.ac.uk/id/eprint/414816
ISSN: 0018-9464
PURE UUID: 2dfe6599-1710-40d7-95cd-898f541fe270
ORCID for Jan K. Sykulski: ORCID iD orcid.org/0000-0001-6392-126X

Catalogue record

Date deposited: 11 Oct 2017 16:31
Last modified: 17 Dec 2019 02:04

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