![]() | Monter d'un niveau |
Audet, C., Ianni, A., Le Digabel, S., & Tribes, C. (2014). Reducing the number of function evaluations in mesh adaptive direct search algorithms. SIAM Journal on Optimization, 24(2), 621-642. Lien externe
Audet, C., Le Digabel, S., & Peyrega, M. (2014). Linear Equalities in Blackbox Optimization. (Rapport technique n° G-2014-36). Lien externe
Audet, C., Le Digabel, S., & Tribes, C. (2014). Dynamic scaling in the Mesh Adaptive Direct Search algorithm for blackbox optimization. (Rapport technique n° G-2014-16). Lien externe
Gertz, E., Hiekkalinna, T., Le Digabel, S., Audet, C., Terwilliger, J. D., & Schäffer, A. A. (2014). PSEUDOMARKER 2.0: efficient computation of likelihoods using NOMAD. BMC Bioinformatics, 15(1). Disponible
Gramacy, R. B., Gray, G. A., Le Digabel, S., Lee, H. K. H., Ranjan, P., Weels, G., & Wild, S. M. (2014). Modeling an augmented Lagrangian for improved blackbox constrained optimization. (Rapport technique n° G-2014-17). Lien externe
Minville, M., Cartier, D., Guay, C., Leclaire, L.-A., Audet, C., Le Digabel, S., & Merleau, J. (2014). Improving process representation in conceptual hydrological model calibration using climate simulations. Water Resources Research, 50(6), 5044-5073. Lien externe
Pourbagian, M., Talgorn, B., Habashi, W. G., Kokkolaras, M., & Le Digabel, S. (2014). On power optimization of aircraft electro-thermal anti-icing systems. (Rapport technique n° G-2014-72). Lien externe
Talgorn, B., Le Digabel, S., & Kokkolaras, M. (août 2014). Problem Formulations for Simulation-Based Design Optimization Using Statistical Surrogates and Direct Search [Communication écrite]. ASME 2014 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE 2014), Buffalo, New York. Lien externe
Talgorn, B., Le Digabel, S., & Kokkolaras, M. (2014). Problem formulations for simulation-based design optimization using statistical surrogates and direct search. (Rapport technique n° G-2014-04). Lien externe