Publication:

A robust multi-objective Bayesian optimization framework considering input uncertainty

Date

2023
Journal article
https://doi.org/10.1007/s10898-022-01262-9
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dc.contributor.authorQing, Jixiang
dc.contributor.authorCouckuyt, Ivo
dc.contributor.authorDhaene, Tom
dc.contributor.imecauthorQing, Jixiang
dc.contributor.imecauthorCouckuyt, Ivo
dc.contributor.imecauthorDhaene, Tom
dc.contributor.orcidimecQing, Jixiang::0000-0002-6446-6286
dc.contributor.orcidimecCouckuyt, Ivo::0000-0002-9524-4205
dc.contributor.orcidimecDhaene, Tom::0000-0003-2899-4636
dc.date.accessioned2023-07-20T14:03:01Z
dc.date.available2022-12-23T03:08:07Z
dc.date.available2022-12-23T11:13:26Z
dc.date.available2023-07-20T14:03:01Z
dc.date.embargo2024-07-31
dc.date.issued2023
dc.description.wosFundingTextAcknowledgementsThis research received funding from the Flemish Government (AI Research Program) and Chinese Scholarship Council under grant number 201906290032.
dc.identifier.doi10.1007/s10898-022-01262-9
dc.identifier.issn0925-5001
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/40903
dc.publisherSPRINGER
dc.source.beginpage693
dc.source.endpage711
dc.source.issue/
dc.source.journalJOURNAL OF GLOBAL OPTIMIZATION
dc.source.numberofpages19
dc.source.volume86
dc.title

A robust multi-objective Bayesian optimization framework considering input uncertainty

dc.typeJournal article
dspace.entity.typePublication
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