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Dealing with Epistemic Uncertainty in Multi-objective Optimization: A Survey

Abstract : Multi-objective optimization under epistemic uncertainty is today present as an active research area reflecting reality of many practical applications. In this paper, we try to present and discuss relevant state-of-the-art related to multi-objective optimisation with uncertain-valued objective. In fact, we give an overview of approaches that have already been proposed in this context and limitations of each one of them. We also present recent researches developed for taking into account uncertainty in the Pareto optimality aspect.
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https://hal.inria.fr/hal-01942474
Contributor : Talbi El-Ghazali <>
Submitted on : Monday, December 3, 2018 - 11:31:21 AM
Last modification on : Friday, December 11, 2020 - 6:44:07 PM

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  • HAL Id : hal-01942474, version 1

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Oumayma Bahri, El-Ghazali Talbi. Dealing with Epistemic Uncertainty in Multi-objective Optimization: A Survey. IPMU 2018 - 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Jun 2018, Cadiz, Spain. pp.260-271. ⟨hal-01942474⟩

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