The performance of simulated annealing in parameter estimation for vapor-liquid equilibrium modeling

in this paper we report the application and evaluation of the simulated annealing (sa) optimization method in parameter estimation for vapor-liquid equilibrium (vle) modeling. we tested this optimization method using the classical least squares and error-in-variable approaches. the reliability and efficiency of the data-fitting procedure are also considered using different values for algorithm parameters of the sa method. our results indicate that this method, when properly implemented, is a robust procedure for nonlinear parameter estimation in thermodynamic models. however, in difficult problems it still can converge to local optimums of the objective function.