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February 6, 2026Reliability Engineering & System SafetyOpen Access

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

Hao Zhou Xin Luo Didier Lucor Emilie Sauret

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Key Points

Robust multi-objective design significantly improves performance while effectively managing uncertainty in outcomes.
Key evidence highlights that the new framework outperforms traditional methods in both performance metrics and uncertainty management.
Assessment using a novel bayesian optimisation framework, explicitly addressing performance as separate from uncertainty.
This work may enable better and more reliable designs across various industrial applications, requiring further validation.

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Implication

Framework demonstrates robust multi-objective design under uncertainty, informing optimal decision-making in engineering and analytics.

Abstract

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Cite This Study

Zhou et al. (2026) studied this question.

synapsesocial.com/papers/69a767a7badf0bb9e87e1cf0 https://doi.org/10.1016/j.ress.2026.112359

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