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Multi-objective bayesian optimization with mixed-categorical design variables for expensive-to-evaluate aeronautical applications

N. Bartoli, T. Lefebvre, R. Lafage, P. Saves, Youssef Diouane, J. Morlier, Jasper H. Bussemaker, G. Donelli, J. M. Gomes de Mello, M. Mandorino and P. Della Vecchia

Paper (2023)

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Department: Department of Engineering Physics
PolyPublie URL: https://publications.polymtl.ca/54850/
Conference Title: 2023 ECCOMAS Thematic Conference on Mutlidisciplinary Design Optimization of Aerospace Systems (AEROBEST 2023)
Conference Location: Lisboa, Portugal
Conference Date(s): 2023-07-19 - 2023-07-21
Editors: André C. Marta and Afzal Suleman
Publisher: IDMEC
Official URL: https://aerobest2023.idmec.tecnico.ulisboa.pt/publ...
Date Deposited: 31 Aug 2023 14:52
Last Modified: 05 Apr 2024 12:01
Cite in APA 7: Bartoli, N., Lefebvre, T., Lafage, R., Saves, P., Diouane, Y., Morlier, J., Bussemaker, J. H., Donelli, G., Gomes de Mello, J. M., Mandorino, M., & Della Vecchia, P. (2023, July). Multi-objective bayesian optimization with mixed-categorical design variables for expensive-to-evaluate aeronautical applications [Paper]. 2023 ECCOMAS Thematic Conference on Mutlidisciplinary Design Optimization of Aerospace Systems (AEROBEST 2023), Lisboa, Portugal (600 pages). https://aerobest2023.idmec.tecnico.ulisboa.pt/publications/#proceedings

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