DOI: 10.1016/j.compchemeng.2004.07.002. A hybrid genetic algorithm for efficient parameter estimation of large kinetic models

A hybrid genetic algorithm for efficient parameter estimation of large kinetic models

10.1016/j.compchemeng.2004.07.002

Crossref journal-article

Elsevier BV

Computers & Chemical Engineering (78)

Bibliography

Katare, S., Bhan, A., Caruthers, J. M., Delgass, W. N., & Venkatasubramanian, V. (2004). A hybrid genetic algorithm for efficient parameter estimation of large kinetic models. Computers & Chemical Engineering, 28(12), 2569â2581.

Authors 5

Santhoji Katare (first)
Aditya Bhan (additional)
James M. Caruthers (additional)
W. Nicholas Delgass (additional)
Venkat Venkatasubramanian (additional)

References 36 Referenced 109

10.1016/S0098-1354(98)00027-1 / Computers and Chemical Engineering. / A global optimization method, αBB, for general twice-differentiable constrained NLPs - I, theoretical advances by Adjiman (1998)
Acton, F. S. (1990). Numerical methods that work. Washington: Mathematical Association of America. (10.1090/spec/002)
10.1016/S0169-7439(99)00057-X / Chemometrics and Intelligent Laboratory Systems / A Genetic algorithm with decimal coding for the estimation of kinetic and energetic parameters by Balland (2000)
10.1016/S0926-860X(96)00345-6 / Applied Catalysis A: General / Ethane conversion: kinetic evidence for the competition of consecutive steps for the same active center by Bandiera (1997)
{'key': '10.1016/j.compchemeng.2004.07.002_bib5', 'series-title': 'Nonlinear parameter estimation', 'author': 'Bard', 'year': '1974'} / Nonlinear parameter estimation by Bard (1974)
Bates, D. M, & Watts, D. G. (1988). Nonlinear regression analysis and its applications. John Wiley and Sons. (10.1002/9780470316757)
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10.1002/aic.690320105 / AIChE Journal / Nonlinear parameter estimation: A case study comparison by Biegler (1986)
10.1093/biomet/52.3-4.355 / Biometrika / The Bayesian estimation of common parameters from several responses by Box (1965)
10.1016/S0021-9517(02)00036-2 / Journal of Catalysis / Catalyst design: Knowledge extraction from high throughput experimentation by Caruthers (2003)
{'key': '10.1016/j.compchemeng.2004.07.002_bib11', 'series-title': 'Numerical methods for unconstrained optimization and nonlinear equations', 'author': 'Dennis', 'year': '1983'} / Numerical methods for unconstrained optimization and nonlinear equations by Dennis (1983)
Dumesic, J. A., Rudd, D. F., Aparicio, L. M., Rekoske, J. E., & Trevino, A. A. (1993). Microkinetics of heterogeneous catalysis. ACS Professional Reference Book. Washington D.C.: American Chemical Society.
10.1021/ie990486w / Industrial and Engineering Chemistry Research / Global optimization for the parameter estimation of differential-algebraic systems by Esposito (2000)
{'key': '10.1016/j.compchemeng.2004.07.002_bib14', 'series-title': 'Handbook of test problems for local and global optimization', 'author': 'Floudas', 'year': '1999'} / Handbook of test problems for local and global optimization by Floudas (1999)
10.1016/S0920-5861(99)00073-5 / Catalysis Today / Kinetic modeling of acid-catalyzed oil refining processes by Froment (1999)
Goldberg, D. E. (1989). Genetic algorithms in search, optimization and machine learning. Reading, MA: Addison Wesley.
Katare, S., Patkar, P., Ghosh, P., Caruthers, J. M., Delgass, W. N., & Venkatasubramanian, V. (2001). A systematic framework for rational materials formulation and design, materials design approaches and experiences. Proceedings of the Symposium (pp. 321–332). Indianapolis, IN, United States.
Katare, S., Caruthers, J. M., Delgass, W. N., & Venkatasubramanian, V. (2004). An intelligent system for reaction kinetic modeling and catalyst design. Invited Paper for the Special Issue in the Honor of Professor Art Westerberg. Industrial & Engineering Chemistry Research, 43(14), 3484–3512. (10.1021/ie034067h)
Katare, S., Kalos, A. N., & West, D. (2004). A hybrid swarm optimizer for efficient parameter estimation. Proceedings of the Congress on Evolutionary Computation (pp. 309–315). Portland, OR, United States. (10.1109/CEC.2004.1330872)
10.1016/0926-860X(95)00148-4 / Applied Catalysis A: General / Kinetics of ethane aromatization over Gallium-doped H-ZSM-5 catalyst by Keipert (1995)
Krink, T., Filipic, B., Fogel, G. B., & Thomsen, R. (2004). Noisy optimization problems: A particular challenge for differential evolution? Proceedings of the Congress on Evolutionary Computation (pp. 332–339). Portland, OR, United States. (10.1109/CEC.2004.1330876)
10.1021/ie00041a012 / Industrial Engineering and Chemistry Research / Kinetic modeling of propane aromatization reaction over HZSM-5 and GaHZSM-5 by Lukyanov (1995)
10.1016/S0167-2991(97)80770-7 / Progress in Zeolite and Microporous Materials / Application of a kinetic model for investigation of aromatization reactions of light paraffins and olefins over HZSM-5 by Lukyanov (1997)
10.1016/S0167-2991(99)80160-8 / Reaction Kinetics and the Development of Catalytic Processes / Development of kinetic models for reactions of light hydrocarbons over ZSM-5 catalysts. Experimental studies and kinetic modeling of ethane transformation and deactivation of HZSM-5 catalyst by Lukyanov (1999)
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Dates

Type	When
Created	21 years ago (Aug. 18, 2004, 9:05 a.m.)
Deposited	4 years, 2 months ago (June 24, 2021, 10:23 p.m.)
Indexed	4 weeks ago (Aug. 2, 2025, 12:37 a.m.)
Issued	20 years, 9 months ago (Nov. 1, 2004)
Published	20 years, 9 months ago (Nov. 1, 2004)
Published Print	20 years, 9 months ago (Nov. 1, 2004)

Funders 0

None

BibTeX

@article{Katare_2004, title={A hybrid genetic algorithm for efficient parameter estimation of large kinetic models}, volume={28}, ISSN={0098-1354}, url={http://dx.doi.org/10.1016/j.compchemeng.2004.07.002}, DOI={10.1016/j.compchemeng.2004.07.002}, number={12}, journal={Computers & Chemical Engineering}, publisher={Elsevier BV}, author={Katare, Santhoji and Bhan, Aditya and Caruthers, James M. and Delgass, W. Nicholas and Venkatasubramanian, Venkat}, year={2004}, month=nov, pages={2569–2581} }

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