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hal-00687086v1  Conference papers
Rodolphe Le RicheF. Guyon. Dual evolutionary optimization
5ième conférence internationale sur l'Evolution Artificielle, Oct 2001, Le Creusot, France. pp. 123-134
hal-00407639v1  Journal articles
Laurent GrossetRodolphe Le RicheRaphael T. Haftka. A double-distribution statistical algorithm for composite laminate optimization
Structural and Multidisciplinary Optimization, Springer Verlag (Germany), 2006, 31 (1), pp.49-59. ⟨10.1007/s00158-005-0551-z⟩
hal-02913882v2  Conference papers
Rodolphe Le RicheAdrien SpagnolDavid GaudrieSébastien da VeigaVictor Picheny. Reducing dimension in Bayesian Optimization
LIMOS internal seminar, Jul 2020, Clerrmont-Ferrand, France
hal-01285225v1  Reports
Hossein MohammadiRodolphe Le RicheEric Touboul. Small ensembles of kriging models for optimization
[Research Report] LIMOS; Ecole National Supérieure des Mines de Saint-Etienne. 2016
cel-01081304v1  Lectures
Rodolphe Le Riche. Introduction to kriging
Doctoral. France. 2014
hal-02444005v1  Book sections
Nicolas GarlandRodolphe Le RicheYann RichetNicolas Durrande. Multi-fidelity for MDO using Gaussian Processes
Loic Brevault; Mathieu Balesdent; Jerome Morio. Aerospace System Analysis and Optimization in Uncertainty, 156, Springer, pp.295-320, 2020, Springer Optimization and its Applications, 978-3-03 0-39126-3. ⟨10.1007/978-3-030-39126-3_8⟩
emse-00495345v1  Journal articles
Christian GoguR.T HaftkaRodolphe Le RicheJérôme MolimardAlain Vautrin. Introduction to the Bayesian Approach Applied to Elastic Constants Identification
AIAA Journal, American Institute of Aeronautics and Astronautics, 2010, 48 (5), pp.893-903. ⟨10.2514/1.40922⟩
hal-00495325v1  Journal articles
Christian GoguRaphael HaftkaRodolphe Le RicheJérôme Molimard. Effect of Approximation Fidelity on Vibration Based Elastic Constants Identification
Structural and Multidisciplinary Optimization, Springer Verlag (Germany), 2010, Volume 42 (Number 2), p 293-304. ⟨10.1007/s00158-010-0493-y⟩
hal-02292889v1  Conference papers
David GaudrieRodolphe Le RicheVictor Picheny. Faster Multi-Objective Optimization: Cumulating Gaussian Processes, Preference Point and Parallelism
19th French-German-Swiss conference on optimization, Sep 2019, Nice, France
hal-02170283v1  Conference papers
Marie-Liesse CauwetRodolphe Le RicheO Roustant. Mixed global optimization by algorithms composition: an empirical study with a focus on Bayesian approaches
30th European conference on operational research, EURO2019, Jun 2019, Dublin, Ireland
tel-00476005v1  Habilitation à diriger des recherches
Rodolphe Le Riche. Global Optimization of Mechanical Systems
Engineering Sciences [physics]. Ecole Nationale Supérieure des Mines de Saint-Etienne, 2008
hal-01946450v1  Conference papers
David GaudrieRodolphe Le RicheVictor PichenyBenoît EnauxVincent Helbert. Restricting ambitions in global multi-objective optimization of costly functions
Seminar at the ONERA: DMS/DTIS (ARF STOCHASTIQUE), Dec 2018, Châtillon, France
hal-01264192v4  Reports
Hossein MohammadiRodolphe Le RicheNicolas DurrandeEric TouboulXavier Bay. An analytic comparison of regularization methods for Gaussian Processes
[Research Report] Ecole Nationale Supérieure des Mines de Saint-Etienne; LIMOS. 2017
emse-00436126v1  Book sections
David GinsbourgerRodolphe Le RicheLaurent Carraro. Kriging is well-suited to parallelize optimization
Yoel Tenne and Chi-Keong Goh. Computational Intelligence in Expensive Optimization Problems, springer, pp.131-162, 2010, Springer series in Evolutionary Learning and Optimization, ⟨10.1007/978-3-642-10701-6_6⟩
emse-00436268v1  Book sections
Daniel SalazarRodolphe Le RicheXavier Bay. An empirical study of the use of confidence levels in RBDO with Monte Carlo simulations
Piotr Breitkopf; Rajan Filomeno Coelho. Multidisciplinary Design Optimization in Computational Mechanics, wiley / ISTE, pp.369-404, 2010