Genetic algorithm model development for prediction of main products in thermal cracking of naphtha: Comparison with kinetic modeling
暂无分享,去创建一个
[1] S. Narayanan,et al. Thermal Cracking of Ethane and Ethane-Propane Mixtures , 1976 .
[2] S. Nowak,et al. On the mechanism of coke formation in steam cracking—conclusions from results obtained by tracer experiments , 1988 .
[3] Anastasia Zabaniotou,et al. Modeling of thermal steam cracking of an atmospheric gas oil , 1989 .
[4] Gilbert F. Froment,et al. Kinetics and reactor design in the thermal cracking for olefins production , 1992 .
[5] Zbigniew Michalewicz,et al. Genetic Algorithms + Data Structures = Evolution Programs , 1996, Springer Berlin Heidelberg.
[6] Kechang Xie,et al. Possibility of Direct Conversion of CH4 and CO2 to High-Value Products , 2001 .
[7] Ariane Leites Larentis,et al. Modeling and optimization of the combined carbon dioxide reforming and partial oxidation of natural gas , 2001 .
[8] Colin R. Reeves,et al. Genetic Algorithms: Principles and Perspectives: A Guide to Ga Theory , 2002 .
[9] Petr Zamostny,et al. Identification of kinetic models of heterogeneously catalyzed reactions , 2002 .
[10] A. Niaei,et al. Coke Formation Mechanisms and Coke Inhibiting Methods in Pyrolysis Furnaces , 2002 .
[11] Huang Kai,et al. Catalyst design for methane oxidative coupling by using artificial neural network and hybrid genetic algorithm , 2003 .
[12] Jafar Towfighi,et al. The combined simulation of heat transfer and pyrolysis reactions in industrial cracking furnaces , 2004 .
[13] G. Müller,et al. Adjustment of the Band Gap Energies of Biostabilized CdS Nanoparticles by Application of Statistical Design of Experiments , 2004 .
[14] Kishalay Mitra,et al. Modeling of a reaction network and its optimization by genetic algorithm , 2004 .
[15] Kimito Funatsu,et al. Automatic modelling of reaction systems using genetic algorithms and its application to chemical vapour deposition processes: advanced utilizations of simulators for chemical systems , 2004 .
[16] Umberto Morbiducci,et al. Genetic algorithms for parameter estimation in mathematical modeling of glucose metabolism , 2005, Comput. Biol. Medicine.
[17] Ákos Kukovecz,et al. Optimization of CCVD synthesis conditions for single-wall carbon nanotubes by statistical design of experiments (DoE) , 2005 .
[18] Alex E. S. Green,et al. Systematics and modeling representations of naphtha thermal cracking for olefin production , 2005 .
[19] Jafar Towfighi,et al. Systematics and modelling representations of LPG thermal cracking for olefin production , 2006 .
[20] S. N. Sivanandam,et al. Introduction to genetic algorithms , 2007 .
[21] R. Maciel Filho,et al. Optimization for large scale process based on evolutionary algorithms: Genetic algorithms , 2007 .
[22] Jafar Towfighi,et al. Modeling of thermal cracking of LPG: Application of artificial neural network in prediction of the main product yields , 2007 .
[23] Aloke Kumar Ghoshal,et al. Hybrid genetic algorithm to find the best model and the globally optimized overall kinetics parameters for thermal decomposition of plastics , 2008 .
[24] Aline Carvalho da Costa,et al. Optimization of a large scale industrial reactor by genetic algorithms , 2008 .
[25] Ytalo Davila,et al. Optimal Hydrogen Production through Revamping a Naphtha-Reforming Unit : Catalyst Deactivation , 2008 .
[26] Rubens Maciel Filho,et al. Hybrid training approach for artificial neural networks using genetic algorithms for rate of reaction estimation: Application to industrial methanol oxidation to formaldehyde on silver catalyst , 2010 .
[27] Jafar Towfighi,et al. Investigating the effect of key factors, their interactions and optimization of naphtha steam cracking by statistical design of experiments , 2010 .
[28] Jafar Towfighi,et al. Experimental study and optimization of heavy liquid hydrocarbon thermal cracking to light olefins by response surface methodology , 2010 .
[29] Jafar Towfighi,et al. Comparing the catalytic performances of mixed molybdenum with cerium and lanthanide oxides supported on HZSM-5 by multiobjective optimization of catalyst compositions using nondominated sorting genetic algorithm , 2010 .
[30] Amir H. Shamekhi,et al. Development of a neural network model for selective catalytic reduction (SCR) catalytic converter and ammonia dosing optimization using multi objective genetic algorithm , 2010 .
[31] Jafar Towfighi,et al. Modeling of Thermal Cracking of Heavy Liquid Hydrocarbon: Application of Kinetic Modeling, Artificial Neural Network, and Neuro-Fuzzy Models , 2011 .
[32] Mitali Sarkar,et al. Application of response surface methodology for optimization of heavy metal biosorption using surfactant modified chitosan bead , 2011 .
[33] U. Özdemir,et al. Modeling adsorption of sodium dodecyl benzene sulfonate (SDBS) onto polyaniline (PANI) by using multi linear regression and artificial neural networks , 2011 .
[34] A. Bhatnagar,et al. Box–Behnken design optimization of Acid Black 1 dye biosorption by different brown macroalgae , 2012 .