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Aplicación Del Método De Optimización De Recocido Simulado En La Regresión De Isotermas De Adsorción, Adrian Bonilla-Petriciolet, María Guadalupe Lira-Padilla, Carlos A. Soto-Becerra
Aplicación Del Método De Optimización De Recocido Simulado En La Regresión De Isotermas De Adsorción, Adrian Bonilla-Petriciolet, María Guadalupe Lira-Padilla, Carlos A. Soto-Becerra
Adrian Bonilla-Petriciolet
The nonlinear parameter estimation of thermodynamic models, including the adsorption isotherms, is a multivariable and nonlinear problem that can present several local optimums. The conventional optimization methods used in the parameter estimation of adsorption isotherms are efficient but they are not reliable to solve such problem. In this paper, we describe the application of the stochastic global optimization method simulated annealing in the nonlinear regression of adsorption isotherms. This method has been applied with Toth and Sips models. Our results indicate that this method is a reliable optimization strategy for parameter estimation in adsorption isotherms.