New Bayesian optimisation framework for robust multi–objective design: decoupling performance and uncertainty

Authors

Emilie Sauret (ORCID: https://orcid.org/0000-0002-8322-3319)
Didier Lucor
Hao Zhou

Publication Details

Journal: Reliability Engineering & System Safety
Published: 2026-02-06
DOI: https://doi.org/10.1016/j.ress.2026.112359
Primary Topic: Advanced Multi-Objective Optimization Algorithms
Type: article
Field-Weighted Citation Impact: 0.00

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article

New Bayesian optimisation framework for robust multi–objective design: decoupling performance and uncertainty

Emilie Sauret, Didier Lucor, Hao Zhou

Feb 6, 2026

Reliability Engineering & System Safety

Advanced Multi-Objective Optimization Algorithms

article

New Bayesian optimisation framework for robust multi–objective design: decoupling performance and uncertainty

Emilie Sauret, Didier Lucor, Hao Zhou

February 6, 2026article en

Abstract

No abstract available for this paper.

Reliability Engineering & System SafetyVol. 274

Openalex Percentile: Top 64%

Advanced Multi-Objective Optimization Algorithms

DOI Open Access PDF OpenAlex

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New Bayesian optimisation framework for robust multi–objective design: decoupling performance and uncertainty — Emilie Sauret, Didier Lucor, et al. · Reliability Engineering & System Safety (2026) | TGRS Research Map | TGRS