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http://hdl.handle.net/1942/36279
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DC Field | Value | Language |
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dc.contributor.author | MORALES HERNANDEZ, Alejandro | - |
dc.contributor.author | VAN NIEUWENHUYSE, Inneke | - |
dc.contributor.author | ROJAS GONZALEZ, Sebastian | - |
dc.contributor.author | JORDENS, Jeroen | - |
dc.contributor.author | Witters, Maarten | - |
dc.contributor.author | Van Doninck, Bart | - |
dc.date.accessioned | 2021-12-17T15:10:41Z | - |
dc.date.available | 2021-12-17T15:10:41Z | - |
dc.date.issued | 2021 | - |
dc.date.submitted | 2021-12-14T08:42:09Z | - |
dc.identifier.citation | Winter Simulation Conference, Phoenix, Arizona, United States, 13/12/2021-17/12/2021 | - |
dc.identifier.uri | http://hdl.handle.net/1942/36279 | - |
dc.description.abstract | Automotive companies are increasingly looking for ways to make their products lighter, using novel materials and novel bonding processes to join these materials together. Finding the optimal process parameters for such adhesive bonding process is challenging. In this research, we successfully applied Bayesian optimization using Gaussian Process Regression and Logistic Regression, to efficiently (i.e., requiring few experiments) guide the design of experiments to the Pareto-optimal process parameter settings. | - |
dc.language.iso | en | - |
dc.subject.other | multi-objective | - |
dc.subject.other | machine learning | - |
dc.subject.other | process optimization | - |
dc.subject.other | bayesian optimization | - |
dc.title | Multi-objective simulation optimization of the adhesive bonding process of materials | - |
dc.type | Conference Material | - |
local.bibliographicCitation.conferencedate | 13/12/2021-17/12/2021 | - |
local.bibliographicCitation.conferencename | Winter Simulation Conference | - |
local.bibliographicCitation.conferenceplace | Phoenix, Arizona, United States | - |
local.bibliographicCitation.jcat | C2 | - |
local.contributor.corpauthor | Jeroen Jordens | - |
local.contributor.corpauthor | Maarten Witters | - |
local.contributor.corpauthor | Bart Van Doninck | - |
local.type.refereed | Non-Refereed | - |
local.type.specified | Conference Material - Abstract | - |
local.bibliographicCitation.status | In press | - |
dc.identifier.arxiv | https://arxiv.org/abs/2112.06769 | - |
local.provider.type | - | |
local.uhasselt.uhpub | yes | - |
item.contributor | MORALES HERNANDEZ, Alejandro | - |
item.contributor | VAN NIEUWENHUYSE, Inneke | - |
item.contributor | ROJAS GONZALEZ, Sebastian | - |
item.contributor | JORDENS, Jeroen | - |
item.contributor | Witters, Maarten | - |
item.contributor | Van Doninck, Bart | - |
item.fullcitation | MORALES HERNANDEZ, Alejandro; VAN NIEUWENHUYSE, Inneke; ROJAS GONZALEZ, Sebastian; JORDENS, Jeroen; Witters, Maarten & Van Doninck, Bart (2021) Multi-objective simulation optimization of the adhesive bonding process of materials. In: Winter Simulation Conference, Phoenix, Arizona, United States, 13/12/2021-17/12/2021. | - |
item.accessRights | Open Access | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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MOSK_WSC2021 corrected authors.pdf | Conference material | 83.12 kB | Adobe PDF | View/Open |
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