Charles Audet, Sébastien Le Digabel
and Renaud Saltet
Article (2022)
An external link is available for this itemDepartment: | Department of Mathematics and Industrial Engineering |
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Research Center: | GERAD - Research Group in Decision Analysis |
PolyPublie URL: | https://publications.polymtl.ca/51648/ |
Journal Title: | Computational Optimization and Applications (vol. 83, no. 1) |
Publisher: | Springer |
DOI: | 10.1007/s10589-022-00381-z |
Official URL: | https://doi.org/10.1007/s10589-022-00381-z |
Date Deposited: | 18 Apr 2023 14:58 |
Last Modified: | 25 Sep 2024 16:42 |
Cite in APA 7: | Audet, C., Le Digabel, S., & Saltet, R. (2022). Quantifying uncertainty with ensembles of surrogates for blackbox optimization. Computational Optimization and Applications, 83(1), 29-66. https://doi.org/10.1007/s10589-022-00381-z |
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