يعرض 1 - 4 نتائج من 4 نتيجة بحث عن '"VARIABLE CATEGORIELLE MIXTE"', وقت الاستعلام: 0.28s تنقيح النتائج
  1. 1
    Conference
    Multi-objective bayesian optimization with mixed-categorical design variables for expensive-to-evaluate aeronautical applications

    المؤلفون: Bartoli, Nathalie, Lefebvre, Thierry, Lafage, Rémi, Saves, Paul, Diouane, Youssef, Morlier, Joseph, Bussemaker, Jasper, Donelli, Giuseppa, Gomes de Mello, Joao Marcos, Mandorino, Massimo, Della Vecchia, Pierluigi

    المساهمون: DTIS, ONERA, Université de Toulouse Toulouse, ONERA-PRES Université de Toulouse, Institut Supérieur de l'Aéronautique et de l'Espace (ISAE-SUPAERO), École Polytechnique de Montréal (EPM), Institut Clément Ader (ICA), Institut Supérieur de l'Aéronautique et de l'Espace (ISAE-SUPAERO)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-IMT École nationale supérieure des Mines d'Albi-Carmaux (IMT Mines Albi), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT), German Aerospace Center (DLR), Deutsches Zentrum für Luft- und Raumfahrt Berlin (DLR), EMBRAER S.A (EMBRAER), University of Naples Federico II = Università degli studi di Napoli Federico II, ECCOMAS

    المصدر: AeroBest 2023 - II ECCOMAS Thematic Conference on Multidisciplinary Design Optimization of Aerospace Systems - Proceedings ; AEROBEST 2023 ; https://hal.science/hal-04170287 ; AEROBEST 2023, ECCOMAS, Jul 2023, Lisbonne, Portugal. pp.436 ; https://aerobest2023.idmec.tecnico.ulisboa.pt/

    مصطلحات موضوعية: Bayesian optimization, multi-objective problems, mixed-categorical variables, aircraft design, aeronautical applications, I-GAIA, OPTIMISATION BAYESIENNE, PROBLEME MULTI-OBJECTIF, VARIABLE CATEGORIELLE MIXTE, CONCEPTION AVION, APPLICATION AERONAUTIQUE, [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering, [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]

    جغرافية الموضوع: Lisbonne, Portugal

    الاتاحة: https://hal.science/hal-04170287
    https://hal.science/hal-04170287v1/document
    https://hal.science/hal-04170287v1/file/AEROBEST2023_AGILE4.pdf

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  2. 2
    Conference
    Multi-Objective Bayesian Optimization With Mixed-Categorical Design Variables For Expensive-To-Evaluate Aeronautical Applications

    المؤلفون: N. Bartoli, T. Lefebvre, R. Lafage, P. Saves, Y. Diouane, J. Morlier, J. H. Bussemaker, G. Donelli, J. M. Gomes de Mello, M. Mandorino, P. Della Vecchia

    المساهمون: Bartoli, N., Lefebvre, T., Lafage, R., Saves, P., Diouane, Y., Morlier, J., Bussemaker, J. H., Donelli, G., Gomes de Mello, J. M., Mandorino, M., Della Vecchia, P.

    مصطلحات موضوعية: Bayesian optimization, multi-objective problems, mixed-categorical variables, aircraft design, aeronautical applications, I-GAIA, OPTIMISATION BAYESIENNE, PROBLEME MULTI-OBJECTIF, VARIABLE CATEGORIELLE MIXTE, CONCEPTION AVION, APPLICATION AERONAUTIQUE

    Relation: ispartofbook:ECCOMAS AEROBEST 2023; ECCOMAS AEROBEST 2023; https://hdl.handle.net/11588/951495; https://hal.science/hal-04170287

    الاتاحة: https://hdl.handle.net/11588/951495
    https://hal.science/hal-04170287

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  3. 3
    Conference
    Multi-objective bayesian optimization with mixed-categorical design variables for expensive-to-evaluate aeronautical applications

    المؤلفون: Bartoli, Nathalie, Lefebvre, Thierry, Lafage, Rémi, Saves, Paul, Diouane, Youssef, Morlier, Joseph, Bussemaker, Jasper, Donelli, Giuseppa, Gomes de Mello, Joao Marcos, Mandorino, Massimo, Della Vecchia, Pierluigi

    المساهمون: DTIS, ONERA, Université de Toulouse Toulouse, ONERA-PRES Université de Toulouse, Institut Supérieur de l'Aéronautique et de l'Espace (ISAE-SUPAERO), École Polytechnique de Montréal (EPM), Institut Clément Ader (ICA), Institut Supérieur de l'Aéronautique et de l'Espace (ISAE-SUPAERO)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-IMT École nationale supérieure des Mines d'Albi-Carmaux (IMT Mines Albi), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT), German Aerospace Center (DLR), Deutsches Zentrum für Luft- und Raumfahrt Berlin (DLR), EMBRAER S.A (EMBRAER ), University of Naples Federico II = Università degli studi di Napoli Federico II, ECCOMAS

    المصدر: AeroBest 2023 - II ECCOMAS Thematic Conference on Multidisciplinary Design Optimization of Aerospace Systems - Proceedings ; AEROBEST 2023 ; https://hal.science/hal-04170287 ; AEROBEST 2023, ECCOMAS, Jul 2023, Lisbonne, Portugal. pp.436 ; https://aerobest2023.idmec.tecnico.ulisboa.pt/

    مصطلحات موضوعية: Bayesian optimization, multi-objective problems, mixed-categorical variables, aircraft design, aeronautical applications, I-GAIA, OPTIMISATION BAYESIENNE, PROBLEME MULTI-OBJECTIF, VARIABLE CATEGORIELLE MIXTE, CONCEPTION AVION, APPLICATION AERONAUTIQUE, [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering, [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]

    جغرافية الموضوع: Lisbonne, Portugal

    Relation: hal-04170287; https://hal.science/hal-04170287; https://hal.science/hal-04170287/document; https://hal.science/hal-04170287/file/AEROBEST2023_AGILE4.pdf

    الاتاحة: https://hal.science/hal-04170287
    https://hal.science/hal-04170287/document
    https://hal.science/hal-04170287/file/AEROBEST2023_AGILE4.pdf

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  4. 4
    Conference
    Multi-objective bayesian optimization with mixed-categorical design variables for expensive-to-evaluate aeronautical applications

    المؤلفون: Bartoli, Nathalie, Lefebvre, Thierry, Lafage, Rémi, Saves, Paul, Diouane, Youssef, Morlier, Joseph, Bussemaker, Jasper, Donelli, Giuseppa, Gomes de Mello, Joao Marcos, Mandorino, Massimo, Della Vecchia, Pierluigi

    المساهمون: ONERA / DTIS, Université de Toulouse Toulouse, ONERA-PRES Université de Toulouse, Institut Supérieur de l'Aéronautique et de l'Espace (ISAE-SUPAERO), École Polytechnique de Montréal (EPM), Institut Clément Ader (ICA), Institut Supérieur de l'Aéronautique et de l'Espace (ISAE-SUPAERO)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-IMT École nationale supérieure des Mines d'Albi-Carmaux (IMT Mines Albi), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT), German Aerospace Center (DLR), Deutsches Zentrum für Luft- und Raumfahrt Berlin (DLR), EMBRAER S.A (EMBRAER ), University of Naples Federico II = Università degli studi di Napoli Federico II, ECCOMAS

    المصدر: AeroBest 2023 - II ECCOMAS Thematic Conference on Multidisciplinary Design Optimization of Aerospace Systems - Proceedings ; AEROBEST 2023 ; https://hal.science/hal-04170287 ; AEROBEST 2023, ECCOMAS, Jul 2023, Lisbonne, Portugal. pp.436 ; https://aerobest2023.idmec.tecnico.ulisboa.pt/

    مصطلحات موضوعية: Bayesian optimization, multi-objective problems, mixed-categorical variables, aircraft design, aeronautical applications, I-GAIA, OPTIMISATION BAYESIENNE, PROBLEME MULTI-OBJECTIF, VARIABLE CATEGORIELLE MIXTE, CONCEPTION AVION, APPLICATION AERONAUTIQUE, [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering, [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]

    جغرافية الموضوع: Lisbonne, Portugal

    Relation: hal-04170287; https://hal.science/hal-04170287; https://hal.science/hal-04170287/document; https://hal.science/hal-04170287/file/AEROBEST2023_AGILE4.pdf

    الاتاحة: https://hal.science/hal-04170287
    https://hal.science/hal-04170287/document
    https://hal.science/hal-04170287/file/AEROBEST2023_AGILE4.pdf

    View record in BASE

    أضف إلى المفضلة
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