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Quantifying uncertainty with ensembles of surrogates for blackbox optimization

Charles Audet, Sébastien Le Digabel and Renaud Saltet

Article (2022)

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Department: Department of Mathematics and Industrial Engineering
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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