OATAO - Open Archive Toulouse Archive Ouverte Open Access Week

Bayesian optimization for mixed variables using an adaptive dimension reduction process: applications to aircraft design

Saves, Paul and Nguyen Van, Eric and Bartoli, Nathalie and Diouane, Youssef and Christophe, David and Lefebvre, Thierry and Morlier, Joseph and Defoort, Sébastien Bayesian optimization for mixed variables using an adaptive dimension reduction process: applications to aircraft design. (2022) In: AIAA SciTech 2022, 3 January 2022 - 7 January 2022 (San Diego, United States).

[img] (Document in English)

PDF (Author's version) - Depositor and staff only - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
4MB

Abstract

Multidisciplinary design optimization methods aim at adapting numerical optimization techniques to the design of engineering systems involving multiple disciplines. In this context, a large number of mixed continuous, integer and categorical variables might arise during the optimization process and practical applications involve a large number of design variables. Recently, there has been a growing interest in mixed variables constrained Bayesian optimization but most existing approaches severely increase the number of the hyperparameters related to the surrogate model. In this paper, we address this issue by constructing surrogate models using less hyperparameters. The reduction process is based on the partial least squares method. An adaptive procedure for choosing the number of hyperparameters is proposed. The performance of the proposed approach is confirmed on analytical tests as well as two real applications related to aircraft design. A significant improvement is obtained compared to genetic algorithms. https://arc.aiaa.org/doi/pdf/10.2514/6.2022-0082

Item Type:Conference or Workshop Item (Paper)
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
French research institutions > Office National d'Etudes et Recherches Aérospatiales - ONERA (FRANCE)
Laboratory name:
Statistics:download
Deposited On:18 Jan 2022 12:25

Repository Staff Only: item control page