Publication:

Bayesian multi-objective optimization of process design parameters in constrained settings with noise: an engineering design application

Date

2024
Journal article
https://doi.org/10.1007/s00366-023-01922-8
Simple item page Full metadata Statistics
 
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid0000-0002-9524-4205
cris.virtualsource.departmenta6e15b57-cd91-48e5-9630-242b1b7129de
cris.virtualsource.department7bac28ac-f3c2-462d-aea4-cc71c4892295
cris.virtualsource.orcida6e15b57-cd91-48e5-9630-242b1b7129de
cris.virtualsource.orcid7bac28ac-f3c2-462d-aea4-cc71c4892295
dc.contributor.authorMorales-Hernandez, Alejandro
dc.contributor.authorRojas Gonzalez, Sebastian
dc.contributor.authorVan Nieuwenhuyse, Inneke
dc.contributor.authorCouckuyt, Ivo
dc.contributor.authorJordens, Jeroen
dc.contributor.authorWitters, Maarten
dc.contributor.authorVan Doninck, Bart
dc.contributor.imecauthorRojas Gonzalez, Sebastian
dc.contributor.imecauthorCouckuyt, Ivo
dc.contributor.orcidimecCouckuyt, Ivo::0000-0002-9524-4205
dc.contributor.orcidimecRojas Melendez, Julian::0000-0002-6645-1264
dc.date.accessioned2024-10-07T08:34:26Z
dc.date.available2024-01-24T17:36:59Z
dc.date.available2024-01-25T10:58:47Z
dc.date.available2024-10-07T08:34:26Z
dc.date.embargo2024-07-10
dc.date.issued2024
dc.description.wosFundingTextThis work was supported by the Flanders Artificial Intelligence Research Program (FLAIR), the Research Foundation Flanders (FWO Grant 1216021N), and Flanders Make vzw.
dc.identifier.doi10.1007/s00366-023-01922-8
dc.identifier.issn0177-0667
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/43449
dc.publisherSPRINGER
dc.source.beginpage4
dc.source.endpage2497
dc.source.issue40
dc.source.journalENGINEERING WITH COMPUTERS
dc.source.numberofpages2511
dc.source.volume2024
dc.subject.keywordsADHESIVELY BONDED JOINTS
dc.subject.keywordsEVOLUTIONARY ALGORITHMS
dc.subject.keywordsEXPECTED IMPROVEMENT
dc.subject.keywordsSEARCH
dc.title

Bayesian multi-objective optimization of process design parameters in constrained settings with noise: an engineering design application

dc.typeJournal article
dspace.entity.typePublication
Files

Original bundle

Name:
8476.pdf
Size:
2.07 MB
Format:
Unknown data format
Description:
Published version
Download
Name:
8476_acc.pdf
Size:
12.79 MB
Format:
Adobe Portable Document Format
Description:
Accepted version
Download
Publication available in collections:
Articles