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Items where Author is "Kokkolaras, Michael"

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Number of items: 14.

A

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

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

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

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). 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

D

Dzahini, K. J., Kokkolaras, M., & Le Digabel, S. (2022). Constrained stochastic blackbox optimization using a progressive barrier and probabilistic estimates. Mathematical Programming, 198(1), 675-732. 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

K

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

T

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

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., 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

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

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

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