A machine learning-based methodology for multi-parametric solution of chemical processes operation optimization under uncertainty

Ahmed Shokry (1, 2) , Sergio Medina-González (3) , Piero Baraldi (4) , Enrico Zio (4, 5) , Eric Moulines (1, 6) , Antonio Espuña (2)

1 CMAP - Centre de Mathématiques Appliquées - Ecole Polytechnique
2 UPC - Universitat Politècnica de Catalunya = Université polytechnique de Catalogne [Barcelona]
3 UACH - Universidad Autónoma de Chihuahua
4 POLIMI - Politecnico di Milano [Milan]
5 CRC - Centre de recherche sur les Risques et les Crises
6 XPOP - Modélisation en pharmacologie de population

Mots clés: Chemical processes; Gaussian process regression; Kriging; Machine learning; Multiparametric programming; Uncertainty; Operation optimization

Domaines: Sciences de l'Homme et Société

Ahmed Shokry, Sergio Medina-González, Piero Baraldi, Enrico Zio, Eric Moulines, et al.. A machine learning-based methodology for multi-parametric solution of chemical processes operation optimization under uncertainty. Chemical Engineering Journal, 2021, 425, pp.131632. ⟨10.1016/j.cej.2021.131632⟩. ⟨hal-03480576⟩