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Stochastic and hybrid approaches to solve integrated synthesis and operation of batch processes

Autor
Moreno, M.; Espuña, A.
Tipus d'activitat
Article en revista
Revista
Computer aided chemical engineering
Data de publicació
2012
Volum
30
Pàgina inicial
1333
Pàgina final
1336
DOI
https://doi.org/10.1016/B978-0-444-59520-1.50125-1 Obrir en finestra nova
Resum
This work aims at exploring two solution strategies to tackle the problem of simultaneous batch process synthesis and operational design, represented as a mixed-integer dynamic optimization (MIDO). A stochastic and a hybrid approach are presented, which are meant to keep the optimum solution performance while seeking for faster solutions and the capability of solving industrial sized problems. Specifically, a genetic algorithm (GA) and its combination with deterministic NLP solvers (GA-NLP) are ...
Paraules clau
batch process synthesis, differential GA, hybrid method, operational design
Grup de recerca
CEPIMA - Center for Process and Environment Engineering

Participants