TY - JOUR
ID - 8106
TI - Application of Genetic Algorithm in Kinetic Modeling and Reaction Mechanism Studies
JO - Iranian Journal of Chemistry and Chemical Engineering (IJCCE)
JA - IJCCE
LA - en
SN - 1021-9986
AU - Fatemi, Shohreh
AU - Masoori, Mohammad
AU - Bozorgmehry Boozarjomehry, Ramin
AD - Department of Chemical Engineering, University of Tehran, I.R. IRAN
AD - Department of Chemical & Petroleum Engineering, Sharif University of Technology, I.R. IRAN
Y1 - 2005
PY - 2005
VL - 24
IS - 4
SP - 37
EP - 46
KW - genetic algorithm
KW - kinetic model
KW - Optimization
KW - Hydrogenolysis of DBT
DO - 10.30492/ijcce.2005.8106
N2 - 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 Langmuir-Hinshelwood type has been obtained from open literature. This model consists of eight continuous parameters(e.g., ArrhenusĀ and Van't Hoff parameters) and six discrete parameters representing the order of the reaction with respect to each concentration.The optimal value of these parameters have been obtained based on Genetic Algorithm. Furthermore, the best type of Genetic operators and their corresponding parameters for this type of problems have been obtained based on a comprehensive study of the effect of these parameters on the efficiency of the Genetic Algorithm.The study shows that the optimum parameters corresponding to Genetic Algorithms depends on the type of operators used in GA. Due to flexibility and generality of Genetic Algorithms, it seems that GA is a useful technique with lots of potentials in determination of optimum kinetic model corresponding to a set of complex reactions.
UR - http://www.ijcce.ac.ir/article_8106.html
L1 - http://www.ijcce.ac.ir/article_8106_ebd5840eba0ffc66f9178521ecb35c52.pdf
ER -