Modélisation Thermo-Acoustique Et Optimisation Multiobjectif Robuste Des Murs Végétalisés Par Différences Finies Et Apprentissage Automatique
Abstract
Keywords
Full Text:
PDFReferences
Pérez, G., Coma, J., Martorell, I. and Cabeza, L.F. (2014) ‘Vertical Greenery Systems (VGS) for energy saving in buildings: A review’, Renewable and Sustainable Energy Reviews, 39, pp. 139–165. doi: 10.1016/j.rser.2014.07.055.
Coma, J., Pérez, G., de Gracia, A., Burés, S., Urrestarazu, M. and Cabeza, L.F. (2017) ‘Vertical greenery systems for energy savings in buildings: A comparative study between green walls and green facades’, Building and Environment, 111, pp. 228–237. doi: 10.1016/j.buildenv.2016.11.014.
Azkorra, Z., Pérez, G., Coma, J., Cabeza, L.F., Burés, S., Álvaro, J.E., Erkoreka, A. and Urrestarazu, M. (2015) ‘Evaluation of green walls as a passive acoustic insulation system for buildings’, Applied Acoustics, 89, pp. 46–56. doi: 10.1016/j.apacoust.2014.09.010.
Crank, J. and Nicolson, P. (1947) ‘A practical method for numerical evaluation of solutions of partial differential equations of the heat-conduction type’, Mathematical Proceedings of the Cambridge Philosophical Society, 43(1), pp. 50–67. doi: 10.1017/S0305004100023197.
Friedman, J.H. (2001) ‘Greedy function approximation: A gradient boosting machine’, The Annals of Statistics, 29(5), pp. 1189–1232. doi: 10.1214/aos/1013203451.
Araújo, G.R., Gomes, R., Gomes, M.G., Guedes, M.C. and Ferrão, P. (2023) ‘Surrogate models for efficient multi-objective optimization of building performance’, Energies, 16(10), article 4030. doi: 10.3390/en16104030.
Deb, K., Pratap, A., Agarwal, S. and Meyarivan, T. (2002) ‘A fast and elitist multiobjective genetic algorithm: NSGA-II’, IEEE Transactions on Evolutionary Computation, 6(2), pp. 182–197. doi: 10.1109/4235.996017.
Harris, C.R., Millman, K.J., van der Walt, S.J., Gommers, R., Virtanen, P., Cournapeau, D. et al. (2020) ‘Array programming with NumPy’, Nature, 585, pp. 357–362. doi: 10.1038/s41586-020-2649-2.
McKinney, W. (2010) ‘Data structures for statistical computing in Python’, in van der Walt, S. and Millman, J. (eds.) Proceedings of the 9th Python in Science Conference. Austin, Texas, pp. 56–61. doi: 10.25080/Majora-92bf1922-00a.
Hunter, J.D. (2007) ‘Matplotlib: A 2D graphics environment’, Computing in Science & Engineering, 9(3), pp. 90–95. doi: 10.1109/MCSE.2007.55.
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O. et al. (2011) ‘Scikit-learn: Machine learning in Python’, Journal of Machine Learning Research, 12, pp. 2825–2830.
Delany, M.E. and Bazley, E.N. (1970) ‘Acoustical properties of fibrous absorbent materials’, Applied Acoustics, 3(2), pp. 105–116. doi: 10.1016/0003-682X(70)90031-9.
McKay, M.D., Beckman, R.J. and Conover, W.J. (1979) ‘A comparison of three methods for selecting values of input variables in the analysis of output from a computer code’, Technometrics, 21(2), pp. 239–245. doi: 10.1080/00401706.1979.10489755.
Marino, S., Hogue, I.B., Ray, C.J. and Kirschner, D.E. (2008) ‘A methodology for performing global uncertainty and sensitivity analysis in systems biology’, Journal of Theoretical Biology, 254(1), pp. 178–196. doi: 10.1016/j.jtbi.2008.04.011.
Efron, B. (1979) ‘Bootstrap methods: Another look at the jackknife’, The Annals of Statistics, 7(1), pp. 1–26. doi: 10.1214/aos/1176344552.
DOI: http://dx.doi.org/10.52155/ijpsat.v58.2.8552
Refbacks
- There are currently no refbacks.
Copyright (c) 2026 Lalaina Dina Prisca RAJAONARISON

This work is licensed under a Creative Commons Attribution 4.0 International License.

















