Artículos de revistas
Fitting The Sovová's Supercritical Fluid Extraction Model By Means Of A Global Optimization Tool
Registro en:
Computers And Chemical Engineering. , v. 32, n. 8, p. 1735 - 1745, 2008.
981354
10.1016/j.compchemeng.2007.08.016
2-s2.0-44349193867
Autor
Martinez J.
Martinez J.M.
Institución
Resumen
The estimation of parameters of the Sovová's model for supercritical fluid extraction is addressed in the present work. A global optimization approach is employed. Reasons for this decision are given as a consequence of more general modeling objectives. The way of dealing with different objective functions and constraints is described. Real-life experiments are given. © 2007 Elsevier Ltd. All rights reserved. 32 8 1735 1745 Adjiman, C.S., Androulakis, I.P., Floudas, C.A., A global optimization method, αBB, for general twice-differentiable constrained NLPs. II. Implementation and computational results (1998) Computers & Chemical Engineering, 22, pp. 1159-1179 Adjiman, C.S., Dallwig, S., Floudas, C.A., Neumaier, A., A global optimization method, αBB, for general twice-differentiable constrained NLPs. I. 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