Using genetic algorithm (GA) and particle swarm optimization (PSO) methods for determination of interaction parameters in multicomponent systems of liquid-liquid equilibria

作者：Khansary Milad Asgarpour^*; Sani Ahmad Hallaji

来源：Fluid Phase Equilibria, 2014, 365: 141-145.

DOI：10.1016/j.fluid.2014.01.016

• Genetic algorithm
• Particle swarm optimization
• UNIQUAC
• NRTL
• LLE

For the prediction of liquid-liquid equilibria (LLE), Wilson, universal quasi chemical (UNIQUAC) and non-random two liquid (NRTL) models were used. Evolutionary algorithms such as genetic algorithm (GA) and particle swarm optimization (PSO) were used for estimation of binary interaction parameters of these models. These two optimization methods are rarely used in LLE calculations: as far as we know the PSO algorithm has never been used and it is reported for the first time. For ternary, quaternary and quinary systems, the calculation done and the obtained results are compared to experimental data. The reliability of GA and PSO in LLE applications was successfully approved.

• 出版日期2014-3-15