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http://hdl.handle.net/1942/41753
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DC Field | Value | Language |
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dc.contributor.author | Loka, Nasrulloh | - |
dc.contributor.author | Ibrahim, Mohamed | - |
dc.contributor.author | Couckuyt, Ivo | - |
dc.contributor.author | VAN NIEUWENHUYSE, Inneke | - |
dc.contributor.author | Dhaene, Tom | - |
dc.date.accessioned | 2023-11-13T11:12:57Z | - |
dc.date.available | 2023-11-13T11:12:57Z | - |
dc.date.issued | 2023 | - |
dc.date.submitted | 2023-11-13T11:06:49Z | - |
dc.identifier.citation | ENGINEERING WITH COMPUTERS, | - |
dc.identifier.uri | http://hdl.handle.net/1942/41753 | - |
dc.description.abstract | Bayesian optimization (BO) is a popular optimization technique for expensive-to-evaluate black-box functions. We propose a cheap-expensive multi-objective BO strategy for optimizing a permanent magnet synchronous motor (PMSM). The design of an electric motor is a complex, time-consuming process that contains various heterogeneous objectives and constraints; in particular, we have a mix of cheap and expensive objective and constraint functions. The expensive objectives and constraints are usually quantified by a time-consuming finite element method, while the cheap ones are available as closed-form equations. We propose a BO policy that can accommodate cheap-expensive objectives and constraints, using a hypervolume-based acquisition function that combines expensive function approximation from a surrogate with direct cheap evaluations. The proposed method is benchmarked on multiple test functions with promising results, reaching competitive solutions much faster than traditional BO methods. To address the aforementioned design challenges for PMSM, we apply our proposed method, which aims to maximize motor efficiency while minimizing torque ripple and active mass, and considers six other performance indicators as constraints. | - |
dc.description.sponsorship | This work has been supported by the Flemish Government under the “Onderzoeksprogramma Artifciële Intelligentie (AI) Vlaanderen” and the “Fonds Wetenschappelijk Onderzoek (FWO)” programmes. We also thank our colleague Jixiang Qing for providing detailed comments that helped improve the paper. | - |
dc.language.iso | en | - |
dc.publisher | SPRINGER | - |
dc.rights | The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2023 | - |
dc.subject.other | Bayesian optimization | - |
dc.subject.other | Multi-objectives optimization | - |
dc.subject.other | Constrained optimization | - |
dc.subject.other | Permanent magnet synchronous motor | - |
dc.title | Cheap-expensive multi-objective Bayesian optimization for permanent magnet synchronous motor design | - |
dc.type | Journal Contribution | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Loka, N (corresponding author), Ghent Univ imec, Dept Informat Technol INTEC, IDLab, iGent, Technol pk Zwijnaarde 126, B-9052 Ghent, Belgium. | - |
dc.description.notes | nasrulloh.loka@ugent.be; mohamed.ibrahim@ugent.be; | - |
dc.description.notes | ivo.couckuyt@ugent.be; inneke.vannieuwenhuyse@uhasselt.be; | - |
dc.description.notes | tom.dhaene@ugent.be | - |
local.publisher.place | ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.bibliographicCitation.status | Early view | - |
dc.identifier.doi | 10.1007/s00366-023-01900-0 | - |
dc.identifier.isi | 001083321400001 | - |
local.provider.type | wosris | - |
local.description.affiliation | [Loka, Nasrulloh; Couckuyt, Ivo; Dhaene, Tom] Ghent Univ imec, Dept Informat Technol INTEC, IDLab, iGent, Technol pk Zwijnaarde 126, B-9052 Ghent, Belgium. | - |
local.description.affiliation | [Ibrahim, Mohamed] Univ Ghent, Dept Electromech Syst & Met Engn, Technol pk Zwijnaarde 131, B-9052 Ghent, Belgium. | - |
local.description.affiliation | [Van Nieuwenhuyse, Inneke] Hasselt Univ, FlandersMakeUHasselt & Data Sci Inst, Martelarenlaan 42, B-3500 Hasselt, Belgium. | - |
local.description.affiliation | [Ibrahim, Mohamed] FlandersMakeUGent Corelab MIRO, B-3001 Leuven, Belgium. | - |
local.description.affiliation | [Ibrahim, Mohamed] Kafrelshiekh Univ, Elect Engn Dept, Kafrelshiekh 33511, Egypt. | - |
local.uhasselt.international | yes | - |
item.fulltext | With Fulltext | - |
item.fullcitation | Loka, Nasrulloh; Ibrahim, Mohamed; Couckuyt, Ivo; VAN NIEUWENHUYSE, Inneke & Dhaene, Tom (2023) Cheap-expensive multi-objective Bayesian optimization for permanent magnet synchronous motor design. In: ENGINEERING WITH COMPUTERS,. | - |
item.accessRights | Open Access | - |
item.contributor | Loka, Nasrulloh | - |
item.contributor | Ibrahim, Mohamed | - |
item.contributor | Couckuyt, Ivo | - |
item.contributor | VAN NIEUWENHUYSE, Inneke | - |
item.contributor | Dhaene, Tom | - |
crisitem.journal.issn | 0177-0667 | - |
crisitem.journal.eissn | 1435-5663 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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s00366-023-01900-0.pdf Restricted Access | Early view | 2.6 MB | Adobe PDF | View/Open Request a copy |
EWCO_CheapExpensive_BO_PMSM_NLOKA_FINAL.pdf | Peer-reviewed author version | 2.43 MB | Adobe PDF | View/Open |
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