چكيده لاتين :
This study is focused on the development of a systematic computational approach
which implements Genetic Algorithm (GA) to find the optimal rigorous kinetic models.
A general Kinetic model for hydrogenolysis of dibenzothiophene (DBT) based on LangmuirHinshelwood
type has been obtainedfrom open literature. This model consists ofeight continuous
parameters(e.g., Arrhenus and Vanיt Hoffparameters) and six discrete parameters representing the
order ofthe reaction with respect to each concentration.
The optimal value of these parameters have been obtained based on Genetic Algorithm.
Furthermore, the best type ofGenetic operators and their corresponding parameters for this type of
problems have been obtained based on a comprehensive study ofthe effect ofthese parameters on
the efficiency ofthe Genetic Algorithm.
The study shows that the optimum parameters corresponding to Genetic Algorithms depends on the
type ofoperators used in GA. Due to flexibility and generality ofGenetic Algorithms, it seems that
GA is a useful technique with lots of potentials in determination of optimum kinetic model
corresponding to a set ofcomplex reactions.