An industrial ethane thermal cracking reactor was modeled assuming a molecular mechanism for the reaction kinetics coupled with material, energy, and momentum balances of the reactant-product flow along the reactor. To carry out the multi-objective optimization for two objectives such as conversion and ethylene selectivity, the elitist non-dominated sorting genetic algorithm was used. The Pareto optimum set was obtained successfully and finally the effect of the decision variable was discussed.
Salari, D., Niaei, A., & Nabavi, R. (2008). Multi-objective Genetic Optimization of Ethane Thermal Cracking Reactor. Iranian Journal of Chemical Engineering (IJChE), 5(3), 29-39.
MLA
Salari, D., Niaei, A., & Nabavi, R. "Multi-objective Genetic Optimization of Ethane Thermal Cracking Reactor", Iranian Journal of Chemical Engineering (IJChE), 5, 3, 2008, 29-39.
HARVARD
Salari D., Niaei A., Nabavi R. (2008). 'Multi-objective Genetic Optimization of Ethane Thermal Cracking Reactor', Iranian Journal of Chemical Engineering (IJChE), 5(3), pp. 29-39.
CHICAGO
D. Salari, A. Niaei & R. Nabavi, "Multi-objective Genetic Optimization of Ethane Thermal Cracking Reactor," Iranian Journal of Chemical Engineering (IJChE), 5 3 (2008): 29-39,
VANCOUVER
Salari D., Niaei A., Nabavi R. Multi-objective Genetic Optimization of Ethane Thermal Cracking Reactor. IJChE. 2008;5(3):29-39.
