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Mixed-integer multiparametric approach based on machine learning techniques

Autor
Shokry , A.; Medina , S.; Espuña, A.
Tipus d'activitat
Article en revista
Revista
Computer aided chemical engineering
Data de publicació
2017-11-13
Volum
40
Pàgina inicial
451
Pàgina final
456
DOI
10.1016/B978-0-444-63965-3.50077-5
URL
https://www.sciencedirect.com/science/article/pii/B9780444639653500775 Obrir en finestra nova
Resum
This paper investigates the extension of a MultiParametric approach based on surrogate models (Meta-MultiParametric approach, M-MP) in order to handle general Mixed- Integer (MI) optimization problems involving Uncertain Parameters (UPs). The method harnesses metamodeling and clustering techniques in order to approximate black box relations between the optimal values of the continuous variables and the UPs, while Classification Techniques (CT) are employed to identify the optimal values of the i...
Paraules clau
Classification, Clustering, Metamodels, Optimization under uncertainty
Grup de recerca
CEPIMA - Center for Process and Environment Engineering

Participants