Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/39403
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dc.contributor.advisorInneke, Van Nieuwenhuyse-
dc.contributor.authorAMINI, Sasan-
dc.contributor.authorVAN NIEUWENHUYSE, Inneke-
dc.date.accessioned2023-02-13T15:32:24Z-
dc.date.available2023-02-13T15:32:24Z-
dc.date.issued2022-
dc.date.submitted2022-10-20T15:56:43Z-
dc.identifier.citation36th annual conference of the Belgian operational research society, Ghent, Belgium, 12-13 September 2022-
dc.identifier.urihttp://hdl.handle.net/1942/39403-
dc.language.isoen-
dc.titleUsing Bayesian optimization to solve constrained simulation Optimization problems-
dc.typeConference Material-
local.bibliographicCitation.conferencedate12-13 September 2022-
local.bibliographicCitation.conferencename36th annual conference of the Belgian operational research society-
local.bibliographicCitation.conferenceplaceGhent, Belgium-
local.bibliographicCitation.jcatC2-
local.type.refereedRefereed-
local.type.specifiedConference Presentation-
local.uhasselt.internationalno-
item.fulltextWith Fulltext-
item.accessRightsRestricted Access-
item.contributorAMINI, Sasan-
item.contributorVAN NIEUWENHUYSE, Inneke-
item.fullcitationAMINI, Sasan & VAN NIEUWENHUYSE, Inneke (2022) Using Bayesian optimization to solve constrained simulation Optimization problems. In: 36th annual conference of the Belgian operational research society, Ghent, Belgium, 12-13 September 2022.-
Appears in Collections:Research publications
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