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Youssef DiouaneDépartement de mathématiques et de génie industriel
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Anagnostidis, S.-K., Lucchi, A., & Diouane, Y. (avril 2021). Direct-Search for a Class of Stochastic Min-Max Problems [Communication écrite]. 24th International Conference on Artificial Intelligence and Statistics (AISTATS 2021). Lien externe
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. (juillet 2023). Multi-objective bayesian optimization with mixed-categorical design variables for expensive-to-evaluate aeronautical applications [Communication écrite]. 2023 ECCOMAS Thematic Conference on Mutlidisciplinary Design Optimization of Aerospace Systems (AEROBEST 2023), Lisboa, Portugal (600 pages). Lien externe
Barjhoux, P.-J., Diouane, Y., Grihon, S., & Morlier, J. (2022). An outer approximation bi-level framework for mixed categorical structural optimization problems. Structural and Multidisciplinary Optimization, 65(8), 214 (20 pages). Lien externe
Bergou, E. H., Diouane, Y., Kungurtsev, V., & Royer, C. W. (2022). A Stochastic Levenberg--Marquardt Method Using Random Models with Complexity Results. SIAM/ASA Journal on Uncertainty Quantification, 10(1), 507-536. Lien externe
Bergou, E. H., Diouane, Y., Kunc, V., Kungurtsev, V., & Royer, C. W. (2022). A subsampling line-search method with second-order results. INFORMS Journal on Optimization, 4(4), 403-425. Lien externe
Bergou, E.-H., Diouane, Y., & Kungurtsev, V. (2021). Complexity iteration analysis for strongly convex multi-objective optimization using a Newton path-following procedure. Optimization Letters, 15(4), 1215-1227. Lien externe
Bergou, E. H., Diouane, Y., Kungurtsev, V., & Royer, C. W. (2021). A Nonmonotone Matrix-Free Algorithm for Nonlinear Equality-Constrained Least-Squares Problems. SIAM Journal on Scientific Computing, 43(5), S743-S766. Lien externe
Barjhoux, P.-J., Diouane, Y., Grihon, S., Bettebghor, D., & Morlier, J. (2020). A bi-level methodology for solving large-scale mixed categorical structural optimization. Structural and Multidisciplinary Optimization, 62(1), 337-351. Lien externe
Bergou, E. H., Diouane, Y., & Kungurtsev, V. (2020). Convergence and Complexity Analysis of a Levenberg–Marquardt Algorithm for Inverse Problems. Journal of Optimization Theory and Applications, 185(3), 927-944. Lien externe
Barjhoux, P.-J., Diouane, Y., Grihon, S., Bettebghor, D., & Morlier, J. (juin 2018). A Bilevel Methodology for solving a Structural Optimization Problem with both Continuous and Categorical Variables [Communication écrite]. Multidisciplinary Analysis and Optimization Conference (AIAA AVIATION Forum 2018), Atlanta, Georgia, USA. Lien externe
Bergou, E. H., Diouane, Y., & Gratton, S. (2018). A Line-Search Algorithm Inspired by the Adaptive Cubic Regularization Framework and Complexity Analysis. Journal of Optimization Theory and Applications, 178(3), 885-913. Lien externe
Barjhoux, P.-J., Diouane, Y., Grihon, S., Bettebghor, D., & Morlier, J. (juin 2017). Mixed Variable Structural Optimization: Toward an Efficient Hybrid Algorithm [Communication écrite]. 12th World Congress of Structural and Multidisciplinary Optimization (WCSMO 2017), Braunschweig, Germany. Lien externe
Bergou, E., Diouane, Y., & Gratton, S. (2017). On the use of the energy norm in trust-region and adaptive cubic regularization subproblems. Computational Optimization and Applications, 68(3), 533-554. Lien externe
Custódio, A. L., Diouane, Y., Garmanjani, R., & Riccietti, E. (2021). Worst-Case Complexity Bounds of Directional Direct-Search Methods for Multiobjective Optimization. Journal of Optimization Theory and Applications, 188(1), 73-93. Lien externe
Diouane, Y., Kungurtsev, V., Rinaldi, F., & Zeffiro, D. (2024). Inexact direct-search methods for bilevel optimization problems. Computational Optimization and Applications, 22-22. Lien externe
Diouane, Y., Picheny, V., Riche, R. L., & Perrotolo, A. S. D. (2023). TREGO: a trust-region framework for efficient global optimization. Journal of Global Optimization, 86(1), 1-23. Lien externe
Diouane, Y., Lucchi, A., & Patil, V. (mars 2022). A globally convergent evolutionary strategy for stochastic constrained optimization with applications to reinforcement learning [Communication écrite]. 25th International Conference on Artificial Intelligence and Statistics (AISTATS 2022). Lien externe
Diouane, Y. (2021). Contribution to numerical optimization with application to engineering problems [Habilitation à diriger, INP Toulouse]. Non disponible
Diouane, Y. (2021). A merit function approach for evolution strategies. EURO Journal on Computational Optimization, 9, 100001 (13 pages). Lien externe
Diouane, Y., Gratton, S., Vasseur, X., Vicente, L. N., & Calandra, H. (2016). A parallel evolution strategy for an earth imaging problem in geophysics. Optimization and Engineering, 17(1), 3-26. Lien externe
Diouane, Y., Gratton, S., & Vicente, L. N. (2015). Globally convergent evolution strategies. Mathematical Programming, 152(1), 467-490. Lien externe
Diouane, Y., Gratton, S., & Vicente, L. N. (2015). Globally convergent evolution strategies for constrained optimization. Computational Optimization and Applications, 62(2), 323-346. Lien externe
Diouane, Y. (2014). Globally convergent evolution strategies with application to Earth imaging problem in geophysics [Thèse de doctorat, Institut National Polytechnique de Toulouse (INP Toulouse)]. Lien externe
Diouane, Y., Calandra, H., Gratton, S., & Vasseur, X. (septembre 2014). A Parallel Evolution Strategy for Acoustic Full-Waveform Inversion [Communication écrite]. EAGE Workshop on High Performance Computing for Upstream, Chania, Crete, Greece. Lien externe
Diouane, Y. (2011). Solving a Two-Dimensional Full-Waveform Inversion Problem Using a Global Optimization Method [Mémoire de maîtrise, ENSEEIHT]. Non disponible
Goux, O., Gürol, S., Weaver, A. T., Diouane, Y., & Guillet, O. (2023). Impact of correlated observation errors on the conditioning of variational data assimilation problems. Numerical Linear Algebra with Applications, 35 pages. Lien externe
Grapin, R., Diouane, Y., Morlier, J., Bartoli, N., Lefebvre, T., Saves, P., & Bussemaker, J. H. (juin 2022). Constrained multi-objective bayesian optimization with application to aircraft design [Communication écrite]. AIAA AVIATION 2022 Forum, Chicago, Illinois. Lien externe
Karabaş, U., Diouane, Y., & Douvenot, R. (mars 2021). A Multiscale Parametrization for Refractivity Estimation in the Troposphere [Communication écrite]. 15th European Conference on Antennas and Propagation (EuCAP 2021), Düsseldorf, Germany (5 pages). Lien externe
Karabaş, U., Diouane, Y., & Douvenot, R. (2021). A Variational Adjoint Approach on Wide-Angle Parabolic Equation for Refractivity Inversion. IEEE Transactions on Antennas and Propagation, 69(8), 4861-4870. Lien externe
Karabaş, U., Diouane, Y., & Douvenot, R. (mars 2020). On the Use of Adjoint Methods for Refractivity Estimation in the Troposphere [Communication écrite]. 14th European Conference on Antennas and Propagation (EuCAP 2020) (5 pages). Lien externe
Priem, R., Bartoli, N., Diouane, Y., Dubreuil, S., & Saves, P. (juin 2023). High-dimensional efficient global optimization using both random and supervised embeddings [Communication écrite]. AIAA AVIATION 2023 Forum, San Diego, CA, USA. Lien externe
Priem, R., Gagnon, H., Chittick, I., Dufresne, S., Diouane, Y., & Bartoli, N. (juin 2020). An efficient application of Bayesian optimization to an industrial MDO framework for aircraft design [Communication écrite]. Multidisciplinary Analysis and Optimization Conference (AIAA AVIATION 2020 FORUM). Lien externe
Priem, R., Bartoli, N., Diouane, Y., & Sgueglia, A. (2020). Upper trust bound feasibility criterion for mixed constrained Bayesian optimization with application to aircraft design. Aerospace Science and Technology, 105, 105980 (24 pages). Lien externe
Priem, R., Bartoli, N., & Diouane, Y. (juin 2019). On the Use of Upper Trust Bounds in Constrained Bayesian Optimization Infill Criteria [Communication écrite]. Multidisciplinary Analysis and Optimization Conference (AIAA Aviation 2019 Forum), Dallas, TX, USA. Lien externe
Rufato, R. C., Diouane, Y., Henry, J., Ahlfeld, R., & Morlier, J. (juin 2022). A mixed-categorical data-driven approach for prediction and optimization of hybrid discontinuous composites performance [Communication écrite]. AIAA AVIATION 2022 Forum, Chicago, IL, USA. Lien externe
Saves, P., Diouane, Y., Bartoli, N., Lefebvre, T., & Morlier, J. (2024). High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft. Structural and Multidisciplinary Optimization, 67, 81 (22 pages). Lien externe
Saves, P., Lafage, R., Bartoli, N., Diouane, Y., Bussemaker, J., Lefebvre, T., Hwang, J. T., Morlier, J., & Martins, J. R. R. A. (2024). SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes. Advances in Engineering Software, 188, 103571 (16 pages). Lien externe
Saves, P., Diouane, Y., Bartoli, N., Lefebvre, T., & Morlier, J. (2023). A mixed-categorical correlation kernel for Gaussian process. Neurocomputing, 550, 126472 (14 pages). Lien externe
Saves, P., Diouane, Y., Bartoli, N., Lefebvre, T., & Morlier, J. (juin 2022). A general square exponential kernel to handle mixed-categorical variables for Gaussian process [Communication écrite]. AIAA AVIATION 2022 Forum, Chicago, IL, USA. Lien externe
Saves, P., Bartoli, N., Diouane, Y., Lefebvre, T., Morlier, J., David, C., Nguyen Van, E., & Defoort, S. (janvier 2022). Multidisciplinary design optimization with mixed categorical variables for aircraft design [Communication écrite]. AIAA SCITECH 2022 Forum, San Diego, CA, USA. Lien externe
Saves, P., Bartoli, N., Diouane, Y., Lefebvre, T., Morlier, J., David, C., Van, E., & Defoort, S. (juillet 2021). Constrained Bayesian Optimization Over Mixed Categorical Variables, With Application to Aircraft Design [Communication écrite]. AeroBest 2021, Lisbonne, Portugal. Lien externe
Tfaily, A., Diouane, Y., Bartoli, N., & Kokkolaras, M. (2024). Bayesian optimization with hidden constraints for aircraft design. (Rapport technique n° G-2024-10). Lien externe
Tfaily, A., Diouane, Y., Bartoli, N., & Kokkolaras, M. (2024). Bayesian optimization with hidden constraints for aircraft design. Structural and Multidisciplinary Optimization, 67, 13 (18 pages). Lien externe
Tfaily, A., Kokkolaras, M., Bartoli, N., & Diouane, Y. (juin 2023). Efficient Acquisition Functions for Bayesian Optimization in the Presence of Hidden Constraints [Communication écrite]. AIAA AVIATION 2023 Forum, San Diego, CA, USA. Lien externe
