 | Up a level |
Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
Use the mouse wheel or scroll gestures to zoom into the graph.
You can click on the nodes and links to highlight them and move the nodes by dragging them.
Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Audet, C., Bigeon, J., Couderc, R., & Kokkolaras, M. (2025). Risk-averse constrained blackbox optimization under mixed aleatory/epistemic uncertainties. Computational Optimization and Applications, 61 pages. External link
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). External link
Audet, C., Bigeon, J., Couderc, R., & Kokkolaras, M. (2023). Sequential stochastic blackbox optimization with zeroth-order gradient estimators. AIMS Mathematics, 8(11), 25922-25956. Available
Dzahini, K. J., Kokkolaras, M., & Le Digabel, S. (2022). Constrained stochastic blackbox optimization using a progressive barrier and probabilistic estimates. Mathematical Programming, 198, 675-732. Available
Al Handawi, K., & Kokkolaras, M. (2022). Optimization of Infectious Disease Prevention and Control Policies Using Artificial Life. IEEE Transactions on Emerging Topics in Computational Intelligence, 6(1), 26-40. External link
Alarie, S., Audet, C., Gheribi, A. E., Kokkolaras, M., & Le Digabel, S. (2021). Two decades of blackbox optimization applications. EURO Journal on Computational Optimization, 9, 100011 (13 pages). Available
Audet, C., Dzahini, K. J., Kokkolaras, M., & Le Digabel, S. (2021). Stochastic mesh adaptive direct search for blackbox optimization using probabilistic estimates. Computational Optimization and Applications, 79(1), 1-34. External link
Talgorn, B., Audet, C., Le Digabel, S., & Kokkolaras, M. (2018). Locally weighted regression models for surrogate-assisted design optimization. Optimization and Engineering, 19(1), 213-238. External link
Audet, C., Kokkolaras, M., Le Digabel, S., & Talgorn, B. (2018). Order-based error for managing ensembles of surrogates in mesh adaptive direct search. Journal of Global Optimization, 70(3), 645-675. External link
Audet, C., & Kokkolaras, M. (2016). Blackbox and derivative-free optimization: theory, algorithms and applications. Optimization and Engineering, 17(1), 1-2. External link
Pourbagian, M., Talgorn, B., Habashi, W. G., Kokkolaras, M., & Le Digabel, S. (2015). Constrained problem formulations for power optimization of aircraft electro-thermal anti-icing systems. Optimization and Engineering, 16(4), 663-693. External link
Talgorn, B., Le Digabel, S., & Kokkolaras, M. (2015). Statistical Surrogate Formulations for Simulation-Based Design Optimization. Journal of Mechanical Design, 137(2), 021405. External link
Kokkolaras, M., Audet, C., & Dennis Jr., J. E. (2001). Mixed variable optimization of the number and composition of heat intercepts in a thermal insulation system. Optimization and Engineering, 2(1), 5-29. External link
Tfaily, A., Bartoli, N., Diouane, Y., & Kokkolaras, M. (2025). Transfer learning in surrogate modeling with emphasis on aircraft design. (Technical Report n° G-2025-50). External link
Tfaily, A., Diouane, Y., Bartoli, N., & Kokkolaras, M. (2024). Bayesian optimization with hidden constraints for aircraft design. (Technical Report n° G-2024-10). External link
Audet, C., Bigeon, J., Couderc, R., & Kokkolaras, M. (2023). Risk averse constrained blackbox optimization under mixed aleatory/epistemic uncertainties. (Technical Report n° G-2023-46). External link
Audet, C., Bigeon, J., Couderc, R., & Kokkolaras, M. (2023). Sequential stochastic blackbox optimization with zeroth order gradient estimator. (Technical Report n° G-2023-16). External link
Audet, C., Bigeon, J., Couderc, R., & Kokkolaras, M. (2022). Risk-adverse optimization by Conditional Value-at-Risk and stochastic approximation. (Technical Report n° G-2022-04). External link
Alarie, S., Audet, C., Gheribi, A. E., Kokkolaras, M., & Le Digabel, S. (2020). Two decades of blackbox optimization applications. (Technical Report n° G-2020-58). External link
Dzahini, K. J., Kokkolaras, M., & Le Digabel, S. (2020). Constrained stochastic blackbox optimization using a progressive barrier and probabilistic estimates. (Technical Report n° G-2020-60). External link
Audet, C., Dzahini, K. J., Kokkolaras, M., & Le Digabel, S. (2019). StoMADS: Stochastic blackbox optimization using probabilistic estimates. (Technical Report n° G-2019-30). External link
Audet, C., Kokkolaras, M., Le Digabel, S., & Talgorn, B. (2018). Order-based error for managing ensembles of surrogates in derivative-free optimization. (Technical Report n° G-2016-36). External link
Talgorn, B., Audet, C., Le Digabel, S., & Kokkolaras, M. (2016). Locally weighted regression models for surrogate-assisted design optimization. (Technical Report n° G-2016-113). External link
Pourbagian, M., Talgorn, B., Habashi, W. G., Kokkolaras, M., & Le Digabel, S. (2014). On power optimization of aircraft electro-thermal anti-icing systems. (Technical Report n° G-2014-72). External link
Talgorn, B., Le Digabel, S., & Kokkolaras, M. (2014). Problem formulations for simulation-based design optimization using statistical surrogates and direct search. (Technical Report n° G-2014-04). External link
Kokkolaras, M., Audet, C., & Dennis, J. E. (2001). Mixed Variable Optimization of the Number and Composition of Heat Intercepts in a Thermal Insulation System. (Technical Report n° G-2000-71). External link
Tfaily, A., Kokkolaras, M., Bartoli, N., & Diouane, Y. (2023, June). Efficient Acquisition Functions for Bayesian Optimization in the Presence of Hidden Constraints [Paper]. AIAA AVIATION 2023 Forum, San Diego, CA, USA. External link
Talgorn, B., Le Digabel, S., & Kokkolaras, M. (2014, August). Problem Formulations for Simulation-Based Design Optimization Using Statistical Surrogates and Direct Search [Paper]. ASME 2014 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE 2014), Buffalo, New York. External link
