Interaction parameter estimation in liquid–liquid phase equilibrium modeling using stochastic and hybrid algorithms
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Date
2012
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Publisher
Elsevier
Abstract
Metaheuristic methods Simulated annealing (SA) and Genetic algorithm (GA) combined with hybrid functions
were investigated to estimate interactions parameters in liquid–liquid phase equilibrium systems.
The Rastrigin and Rosenbrock functions with high number of variables were used as test functions to
compare the performance of each algorithm. The experimental ternary LLE data for extraction of alcohol
with dichloromethane (and diethyl ether) were considered in the NRTL and UNIQUAC activity coefficient
model. The interaction parameters were carried out taking into account the closure equation. As a main
conclusion, Hybrid algorithms have showed the best performance to estimate the interaction parameters
comparatively to stochastic and deterministic algorithms