Fitting the Sovová’s supercritical fluid extraction model by means of a global optimization tool

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.