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:	08 Apr 2025 07:19

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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