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Surrogate-Assisted Bounding-Box approach applied to constrained multi-objective optimisation under uncertainty

Mickael Rivier , Pietro Marco Congedo
Reliability Engineering and System Safety, 2022, 217, pp.108039. ⟨10.1016/j.ress.2021.108039⟩
Journal articles hal-03495871v1

A novel framework for multi-objective optimization under uncertainties: An imprecise Pareto front and evolutive metamodel coupling

Pietro Marco Congedo , Mickael Rivier
UNCECOMP 2017 - 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, Jun 2017, Rhodes, Greece
Conference papers hal-01670998v1

Different Measure Approximations for Efficient Constrained Multi-Objective Optimization under Uncertainty

Mickael Rivier , Pietro Marco Congedo
UQOP - Uncertainty Quantification and OPtimization, Mar 2019, Paris, France
Conference papers hal-02286145v1
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Ablative thermal protection system under uncertainties including pyrolysis gas composition

Mickael Rivier , Jean Lachaud , Pietro Marco Congedo
[Research Report] RR-9175, Inria Bordeaux Sud-Ouest. 2018, pp.1-23
Reports hal-01791072v3

Surrogate-Assisted Bounding-Box Approach for Uncertainty-Based Multi-Objective Optimization Problems

Pietro Marco Congedo , Mickael Rivier
EUROGEN 2017 - International Conference on Evolutionary and Deterministic Methods for Design Optimization and Control, Sep 2017, Madrid, Spain
Conference papers hal-01671024v1

A Surrogate-Assisted Multi-fidelity Measure Approximation Framework for Efficient Constrained Multiobjective Optimization Under Uncertainty

Mickael Rivier , Pietro Marco Congedo
UNCECOMP 2019 - 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, Jun 2019, Hersonissos, Greece
Conference papers hal-02286156v1
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Low-cost methods for constrained multi-objective optimization under uncertainty

Mickael Rivier
Statistics [math.ST]. Institut Polytechnique de Paris, 2020. English. ⟨NNT : ⟩
Theses tel-03084593v1

Different measure approximations for efficient constrained multi-objective optimization under uncertainty

Mickael Rivier , Pietro Marco Congedo
SIAM CSE19 - Conference on Computational Science and Engineering, Feb 2019, Spokane, United States
Poster communications hal-02286159v1

Different Measure Approximations for Efficient Constrained Multi-Objective Optimization under Uncertainty

Mickael Rivier , Pietro Marco Congedo
SMAI 2019 - 9e Biennale Française des Mathématiques Appliquées et Industrielles, May 2019, Guidel, France
Conference papers hal-02286141v1
Image document

Surrogate-Assisted Bounding-Box Approach Applied to Constrained Multi-Objective Optimisation Under Uncertainty

Mickael Rivier , Pietro Marco Congedo
[Research Report] RR-9214, Inria Saclay Ile de France. 2018, pp.1-37
Reports hal-01897399v2
Image document

Surrogate-Assisted Bounding-Box Approach for Optimization Problems with Tunable Objectives Fidelity

Mickael Rivier , Pietro Marco Congedo
[Research Report] RR-9155, Inria Saclay Ile de France. 2018, pp.1-32
Reports hal-01713043v5

Efficient optimization under uncertainty within the SABBa framework

Mickael Rivier , Pietro Marco Congedo
ECCM-ECFD 2018 - 6th European Conference on Computational Mechanics - 7th European Conference on Computational Fluid Dynamics, Jun 2018, Glasgow, United Kingdom
Conference papers hal-01841360v1

Low-cost optimization under uncertainty through box representation of robustness measures

Mickael Rivier , Pietro Marco Congedo
BIOMA 2018 - 8th International Conference on Bioinspired Optimization Methods and their Applications, May 2018, Paris, France
Conference papers hal-01841372v1
Image document

Non-Parametric Measure Approximations for Constrained Multi-Objective Optimisation under Uncertainty

Mickael Rivier , Nassim Razaaly , Pietro Marco Congedo
2022
Preprints, Working Papers, ... hal-03781832v1

Low-cost optimization under uncertainty through box representation of robustness measures

Mickael Rivier , Pietro Marco Congedo
Mascot-num 2018, Mar 2018, Nantes, France
Conference papers hal-01841352v1
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Calcul de probabilité de défaillance par échantillonnage d'importance sur méta-modèle de Krigeage pour un matériau viscoélastique

Aurélien Guesdon , Rivier Mickael , Elisa Bonigen , Marie Cottrel-Bussenault , Charles Elegbede et al.
Congrès Lambda Mu 23 « Innovations et maîtrise des risques pour un avenir durable » - 23e Congrès de Maîtrise des Risques et de Sûreté de Fonctionnement, Institut pour la Maîtrise des Risques, Oct 2022, Paris Saclay, France
Conference papers hal-03876600v1