Swarm Intelligence for Estimating Model Parameters in Thermodynamic Systems
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-6866-4_21
Reference13 articles.
1. Bonilla-Petriciolet, A., Bravo-Sanchez, U.I., Castillo-Borja, F., Zapiain-Salinas, J.G., Soto-Bernal, J.J.: The performance of simulated annealing in parameter estimation for vapor-liquid equilibrium modelling. Braz. J. Chem. Eng. 24, 151–162 (2007). https://doi.org/10.1590/s0104-66322007000100014
2. Erodotou, P., Voustas, E., Sarimveis, H.: A genetic algorithm approach for parameter estimation in vapour-liquid thermodynamic modelling problems. Comput. Chem. Eng.. Chem. Eng. 134, 106684 (2020). https://doi.org/10.1016/j.compchemeng.2019.106684
3. Bollas, G.M., Barton, P.I., Mitsos, A.: Bilevel optimization formulation for parameter estimation in vapor-liquid(-liquid) phase equilibrium problems. Chem. Eng. Sci. 64, 1768–1783 (2009). https://doi.org/10.1016/j.ces.2009.01.003
4. Esposito, W.R., Floudas, C.A.: Global optimization in parameter estimation of nonlinear algebraic models via the error-in-variables approach. Ind. Eng. Chem. Res. 37, 1841–1858 (1998). https://doi.org/10.1021/ie970852g
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