Genetic algorithm model development for prediction of main products in thermal cracking of naphtha: Comparison with kinetic modeling

► We model thermal cracking of naphtha with first principle modeling, kinetic model. ► Ninety six reactions are optimized for their activation energies and pre-exponential factors. ► Design of experiment model is linked with GA optimization to improve the accuracy. ► GA tuned, kinetic, and DoE model...

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Bibliographic Details
Published in:	Chemical engineering journal (Lausanne, Switzerland : 1996) Vol. 209; pp. 255 - 262
Main Authors:	Keyvanloo, Kamyar, Sedighi, Mehdi, Towfighi, Jafar
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier B.V 15.10.2012 Elsevier
Subjects:	algorithms Analysis of variance Applied sciences Chemical engineering Exact sciences and technology experimental design Fracture mechanics Genetic algorithm Genetic algorithms Kinetic modeling Mathematical analysis Mathematical models Naphtha neural networks prediction Reaction kinetics researchers Thermal cracking Kinetic modeling Genetic algorithm Thermal cracking Prediction Neural network Empirical model Modeling Optimization Free radical Operating conditions Kinetic model Experimental design Kinetics
ISSN:	1385-8947, 1873-3212
Online Access:	Get full text
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