Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/39402
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dc.contributor.advisorVan Nieuwenhuyse, Inneke-
dc.contributor.authorAMINI, Sasan-
dc.contributor.authorVAN NIEUWENHUYSE, Inneke-
dc.date.accessioned2023-02-13T15:28:50Z-
dc.date.available2023-02-13T15:28:50Z-
dc.date.issued2022-
dc.date.submitted2022-10-20T15:59:58Z-
dc.identifier.citationProceedings of the 20 Winter Simulation Conference,-
dc.identifier.urihttp://hdl.handle.net/1942/39402-
dc.description.abstractIn this research, we develop a Bayesian optimization algorithm to solve expensive constrained problems. We consider the presence of heteroscedastic noise in the evaluations, and propose an identification procedure that considers this uncertainty in recommending the final optimal solution(s). The primary experimental results show that the proposed algorithm is capable of finding a set of optimal (or near-optimal) solutions in the presence of noisy observations.-
dc.description.sponsorshipThis study has supported by the Special Research Fund (BOF) of Hasselt University (grant number BOF19OWB01), and the Flanders Artificial Intelligence Research Program (FLAIR).-
dc.language.isoen-
dc.titleA BAYESIAN OPTIMIZATION ALGORITHM FOR CONSTRAINED PROBLEMS WITH HETEROSCEDASTIC NOISE-
dc.typeConference Material-
local.bibliographicCitation.conferencedate11-14 December 2022-
local.bibliographicCitation.conferencenameWinter simulation conference-
local.bibliographicCitation.conferenceplaceSingapore-
local.bibliographicCitation.jcatC2-
local.type.refereedRefereed-
local.type.specifiedConference Poster-
local.provider.typePdf-
local.bibliographicCitation.btitleProceedings of the 20 Winter Simulation Conference-
local.uhasselt.internationalno-
item.fulltextWith Fulltext-
item.fullcitationAMINI, Sasan & VAN NIEUWENHUYSE, Inneke (2022) A BAYESIAN OPTIMIZATION ALGORITHM FOR CONSTRAINED PROBLEMS WITH HETEROSCEDASTIC NOISE. In: Proceedings of the 20 Winter Simulation Conference,.-
item.accessRightsRestricted Access-
item.contributorAMINI, Sasan-
item.contributorVAN NIEUWENHUYSE, Inneke-
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