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264 résultats
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A comparison of statistical learning approaches for engine torque estimationControl Engineering Practice, 2008, 16, pp.43-55. ⟨10.1016/j.conengprac.2007.03.009⟩
Article dans une revue
hal-00439467v1
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Nager avec plus d'efficacitéSciences pour l'Ingénieur, Acteur et moteur pour l'innovation, CNRS, p.24, 2005
Chapitre d'ouvrage
emse-00691570v1
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Gears Design with Shape Uncertainties using Monte-Carlo Simulations and Kriging50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, May 2009, Palm Springs (California), United States. ⟨10.2514/6.2009-2257⟩
Communication dans un congrès
hal-00409760v1
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Neural Identification of Non Linear Dynamic Structures7th ATA Conference and Exhibition, May 2001, Giens, France
Communication dans un congrès
emse-00687103v1
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Augmented Quantization: a General Approach to Mixture ModelsUQ 2024 - SIAM Conference on Uncertainty Quantification, Society for Industrial and Applied Mathematics, Feb 2024, Trieste, Italy
Communication dans un congrès
hal-04527349v1
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Decoupled MDO formulation for interdisciplinary coupling satisfaction under uncertaintyAIAA Journal, 2015, 54 (1), pp.186 - 205. ⟨10.2514/1.J054121⟩
Article dans une revue
emse-01185241v1
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Sequential approaches to reliability estimation and optimization based on krigingJournées Scientifiques de l'ONERA, Jan 2012, Palaiseau, France
Communication dans un congrès
emse-00686591v1
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In Vivo Mechanical Properties of Arteries: a Novel Identification Method Based on FEA and Image RegistrationESMC 2012, 8th european conference on solid mechanics, Jul 2012, Graz, Austria
Communication dans un congrès
emse-00728748v1
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Wasserstein Barycenter-based Evolutionary Algorithm for the optimization of sets of pointsPGMO DAYS 2023, Nov 2023, Paris-Saclay, France
Communication dans un congrès
emse-04344769v1
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Which Gaussian Process for Bayesian Optimization ?2022 Optimization Days, GERAD, May 2022, Montreal, Canada
Communication dans un congrès
hal-03679142v1
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FunQuant: A R package to perform quantization in the context of rare events and time-consuming simulations2023
Pré-publication, Document de travail
hal-04189822v1
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Multiobjective optimization with a quadratic surrogate-assisted CMA-ESGECCO 2023 - Genetic and Evolutionary Computation Conference, GECCO, Jul 2023, Lisbon, Portugal. ⟨10.1145/3583131.3590492⟩
Communication dans un congrès
hal-04078483v1
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Targeting well-balanced solutions in multi-objective bayesian optimization under a restricted budgetPGMO Days 2017, Nov 2017, Saclay, France
Communication dans un congrès
hal-01883323v1
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Optimizing from simulations : a collaboration between physical and statistical modelingSaphire seminar, Jan 2014, Cachan, France
Communication dans un congrès
emse-00946611v1
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Global sensitivity analysis for optimization with variable selection12th International Conference on Learning and Intelligent Optimization, Jun 2018, Kalamata, Greece. pp 417-443, ⟨10.1137/18M1167978⟩
Communication dans un congrès
emse-01957502v1
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Deciding Degree of Conservativeness in Initial Design Considering Risk of Future RedesignJournal of Mechanical Design, 2016, Special Issue on Simulation-based Design under Uncertainty, 138 (11), 13p. ⟨10.1115/1.4034347⟩
Article dans une revue
emse-01351036v1
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Parallel expected improvements for global optimization: summary, bounds and speed-up2011
Rapport
hal-00613971v1
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L'incertitude en conception : formalisation, estimationOptimisation Multidisciplinaire de Systèmes Mécaniques 2 : réduction de modèles, robustesse, fiabilité, réalisations logicielles, Hermes publisher, 2009, Mécanique et Ingénierie des Matériaux
Chapitre d'ouvrage
hal-00409905v1
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Comparison between the basic least squares and the bayesian approach for elastic constants identificationJournal of Physics: Conference Series, 2008, Vol 135 (N° 1), 8 p. ⟨10.1088/1742-6596/135/1/012045⟩
Article dans une revue
hal-00409731v1
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Projet OMD: Concepts et Application à une Aile d'AvionSTIC 2007, Nov 2007, Paris, France
Communication dans un congrès
hal-00409898v1
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Achievable Goals in Bayesian Multi-Objective OptimizationJournées du GdR MOA, Oct 2018, Pau, France
Communication dans un congrès
hal-01913223v1
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Modeling and Optimization with Gaussian Processes in Reduced EigenbasesStructural and Multidisciplinary Optimization, 2020, 61, pp.2343-2361. ⟨10.1007/s00158-019-02458-6⟩
Article dans une revue
emse-02390627v1
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An overview of gradient-enhanced metamodels with applicationsArchives of Computational Methods in Engineering, 2019, 26 (1), pp.61-106. ⟨10.1007/s11831-017-9226-3⟩
Article dans une revue
emse-01525674v3
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TREGO: a Trust-Region Framework for Efficient Global OptimizationJournal of Global Optimization, 2022, ⟨10.1007/s10898-022-01245-w⟩
Article dans une revue
hal-03450072v2
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An analytic comparison of regularization methods for Gaussian Processes[Research Report] Ecole Nationale Supérieure des Mines de Saint-Etienne; LIMOS. 2017
Rapport
hal-01264192v4
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Globalized Nelder-Mead method for engineering optimizationComputers & Structures, 2004, Volume 82 (Issues 23-26), pp.Pages 2251-2260. ⟨10.1016/j.compstruc.2004.03.072⟩
Article dans une revue
istex
emse-00687069v1
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Minimisation de quantiles – application en mécanique9e Colloque national en calcul des structures, CSMA, May 2009, Giens, France
Communication dans un congrès
hal-01422233v1
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Description de l'architecture Scilab pour le projet RNTL/OMD[Rapport de recherche] Mines Saint-Etienne. 2008
Rapport
emse-00691548v1
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Probability-based genetic algorithm for composite laminate design.9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization Conference, Sep 2002, Atlanta, United States. paper number AIAA-2002-5462
Communication dans un congrès
hal-00298574v1
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Globalized Nelder-Mead Method for engineering optimization.Sixth international conference on computational structures technology, Sep 2002, Prague, Czech Republic. pp.2251-2260
Communication dans un congrès
hal-00299048v1
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