Publication:

A novel Kriging-assisted multi-objective optimisation method considering infeasibility ratio under input uncertainty

Date

2025
Journal article
https://doi.org/10.1080/09544828.2025.2450763
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dc.contributor.authorWei, Hua
dc.contributor.authorZhou, Qi
dc.contributor.authorDhaene, Tom
dc.contributor.authorCouckuyt, Ivo
dc.contributor.imecauthorWei, Hua
dc.contributor.imecauthorDhaene, Tom
dc.contributor.imecauthorCouckuyt, Ivo
dc.contributor.orcidimecWei, Hua::0000-0001-7921-4906
dc.contributor.orcidimecDhaene, Tom::0000-0003-2899-4636
dc.contributor.orcidimecCouckuyt, Ivo::0000-0002-9524-4205
dc.date.accessioned2025-01-20T10:05:07Z
dc.date.available2025-01-19T18:29:50Z
dc.date.available2025-01-20T10:05:07Z
dc.date.issued2025
dc.description.wosFundingTextThis research receives funding from the Flemish Government under the 'Onderzoeksprogramma Artifciele Intelligentie (AI) Vlaanderen' programme and the 'Fonds Wetenschappelijk Onderzoek (FWO)' programme, and Chinese Scholarship Council [grant number 202106160005].
dc.identifier.doi10.1080/09544828.2025.2450763
dc.identifier.issn0954-4828
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/45090
dc.publisherTAYLOR & FRANCIS LTD
dc.source.beginpage1
dc.source.endpage25
dc.source.issue/
dc.source.journalJOURNAL OF ENGINEERING DESIGN
dc.source.numberofpages25
dc.source.volume/
dc.subject.keywordsEFFICIENT GLOBAL OPTIMIZATION
dc.subject.keywordsGENETIC ALGORITHM
dc.title

A novel Kriging-assisted multi-objective optimisation method considering infeasibility ratio under input uncertainty

dc.typeJournal article
dspace.entity.typePublication
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