Výsledky vyhledávání - "Janusevskis, Janis"

Robust optimization of a 2D air conditioning duct using kriging

Autor: Janusevskis, Janis, Le Riche, Rodolphe

The design of systems involving fluid flows is typically based on computationally intensive Computational Fluid Dynamics (CFD) simulations. Kriging based optimization methods, especially the Efficient Global Optimization (EGO) algorithm, are now ofte

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a5ad67c635c3afc6cc74effa88f8f5e2
https://hal.archives-ouvertes.fr/hal-00566285/document

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Simultaneous Kriging-Based Sampling For Optimization And Uncertainty Propagation

Autor: Janusevskis, Janis, Le Riche, Rodolphe

Publikováno v: 12ème congrès de la société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2011)
12ème congrès de la société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2011), Mar 2011, Saint Etienne, France. pp.submission 447
Noisy Kriging Optimization (NKO) workshop
Noisy Kriging Optimization (NKO) workshop, Nov 2010, Bern, Switzerland

Deliverable no. 2.2.2-A of the ANR / OMD2 project; Robust analysis and optimization is typically based on repeated calls to a deterministic simulator that aim at propagating uncertainties and finding optimal design variables. Without loss of generali

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a5122fc2e5d6118275dea16207adf6a1
https://hal-emse.ccsd.cnrs.fr/emse-00679682

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Parallel expected improvements for global optimization: summary, bounds and speed-up

Autor: Janusevskis, Janis, Le Riche, Rodolphe, Ginsbourger, David

Deliverable no. 2.1.1-B; The sequential sampling strategies based on Gaussian processes are widely used for optimization of time consuming simulators. In practice, such computationally demanding problems are solved by increasing number of processing

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5ab3c20d186eeb24373b52c1cac78fdc
https://hal.archives-ouvertes.fr/hal-00613971

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Fast integration of multi-point improvements

Autor: Janusevskis, Janis, Girdziusas, Ramunas, Le Riche, Rodolphe

Publikováno v: NIPS workshop on Bayesian Optimization and Decision Making
NIPS workshop on Bayesian Optimization and Decision Making, Dec 2012, Lake Tahoe, United States

International audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9490f561a4e33dd52aae1edcc13bc826
https://hal-emse.ccsd.cnrs.fr/emse-00754359

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A study of asynchronous budgeted optimization

Autor: Le Riche, Rodolphe, Girdziusas, Ramunas, Janusevskis, Janis

Publikováno v: NIPS workshop on Bayesian Optimization and Decision Making
NIPS workshop on Bayesian Optimization and Decision Making, Dec 2012, Lake Tahoe, United States

International audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d742915355df2925c052feef841e1b7c
https://hal-emse.ccsd.cnrs.fr/emse-00754360

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Some experiences about optimization with Gaussian processes

Autor: Le Riche, Rodolphe, Janusevskis, Janis, Girdziusas, Ramunas, Ginsbourger, David, Roustant, Olivier, Picheny, Victor

Publikováno v: Invited seminar at LIMOS
Invited seminar at LIMOS, Nov 2012, Clermont-Ferrand, France

National audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3eb965b23a84655d3cf746a8965943e5
https://hal-emse.ccsd.cnrs.fr/emse-00765359

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Expected Improvements for the Asynchronous Parallel Global Optimization of Expensive Functions : Potentials and Challenges

Autor: Janusevskis, Janis, Le Riche, Rodolphe, Ginsbourger, David, Girdziusas, Ramunas

Publikováno v: Lecture Notes in Computer Science
Lecture Notes in Computer Science, 2012, Learning and Intelligent Optimization, pp. 413-418. ⟨10.1007/978-3-642-34413-8_37⟩
Lecture Notes in Computer Science, Springer, 2012, Learning and Intelligent Optimization, pp. 413-418. ⟨10.1007/978-3-642-34413-8_37⟩

Revised selected articles from the LION 6 Conference (Paris, Jan. 16-20, 2012), LNCS 7219, 978-3-642-34412-1; International audience; Sequential sampling strategies based on Gaussian processes are now widely used for the optimization of problems invo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9f830e6134d969b1b3bbad0ffd64e0a4
https://hal-emse.ccsd.cnrs.fr/emse-00686504

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Dealing with asynchronicity in kriging-based parallel global optimization

Autor: Ginsbourger, David, Chevalier, Clément, Janusevskis, Janis, Le Riche, Rodolphe

Publikováno v: 4th International Conference of the ERCIM WG on computing & statistics (ERCIM'11)
4th International Conference of the ERCIM WG on computing & statistics (ERCIM'11), Dec 2011, Londres, United Kingdom. pp.E222

International audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______212::655cb6bb95844e34071af059083bf1ec
https://hal-emse.ccsd.cnrs.fr/emse-00686583

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Dealing with asynchronicity in parallel Gaussian Process based global optimization

Autor: Ginsbourger, David, Janusevskis, Janis, Le Riche, Rodolphe

Publikováno v: [Research Report] Mines Saint-Etienne. 2011

During the last decade, Kriging-based sequential algorithms like EGO and its variants have become reference optimization methods in computer experiments. Such algorithms rely on the iterative maximization of a sampling criterion, the expected improve

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::52c29fef2af2df468f36200ce29c9555
https://hal.archives-ouvertes.fr/hal-00507632/file/EEI_Asy_GP_Opt_HAL.pdf

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