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Application of particle swarm+ant colony optimization to calculate the interaction parameters on phase equilibria

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Abstract

In this study, a hybrid particle swarm+ant colony optimization (PSO+ACO) was applied to solve the vapor–liquid phase equilibrium. The NRTL activity coefficient model was optimized with this new algorithm and the binary interaction parameters of twenty mixtures were obtained. The results were compared with the Levenberg–Marquardt algorithm, and show that the PSO+ACO algorithm is a good method to describe the vapor–liquid equilibrium of any binary system.

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Authors and Affiliations

  1. Departamento de Física, Universidad de La Serena, Casilla 554, La Serena, Chile

    J. A. Lazzús, M. Rivera, I. Salfate, G. Pulgar-Villarroel & P. Rojas

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  1. J. A. Lazzús
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  2. M. Rivera
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  3. I. Salfate
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  4. G. Pulgar-Villarroel
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  5. P. Rojas
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Correspondence to J. A. Lazzús.

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Lazzús, J.A., Rivera, M., Salfate, I. et al. Application of particle swarm+ant colony optimization to calculate the interaction parameters on phase equilibria. J. Engin. Thermophys. 25, 216–226 (2016). https://doi.org/10.1134/S1810232816020065

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  • DOI: https://doi.org/10.1134/S1810232816020065

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