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Gas-solid phase calculations of binary mixtures using optimization of evolutionary algorithms


A comparison between different modern populations based optimization methods applied to the gas-solid phase calculations is presented. Simulations are carried out in twelve binary mixtures containing supercritical carbon dioxide. Particle swarm optimization (PSO) and genetic algorithm (GA) are used to calculate interaction parameters, solubility, and sublimation pressure on these mixtures using the Peng-Robinson equation of state with the Wong-Sandler mixing rules. Comparing PSO with GA shows that the performance of PSO is better than that of GA and that it is a preferable method to optimize parameters of the gas-solid equilibrium.

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Lazzús, J.A., Palma Chilla, L.O. Gas-solid phase calculations of binary mixtures using optimization of evolutionary algorithms. J. Engin. Thermophys. 20, 101–114 (2011).

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  • Genetic Algorithm
  • Particle Swarm Optimization
  • Artemisinin
  • Supercritical Carbon Dioxide