Email this article Application of particle swarm+ant colony optimization to calculate the interaction parameters on phase equilibria
- Authors: Lazzús J.A.1, Rivera M.1, Salfate I.1, Pulgar-Villarroel G.1, Rojas P.1
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Affiliations:
- Departamento de Física
- Issue: Vol 25, No 2 (2016)
- Pages: 216-226
- Section: Article
- URL: https://journals.rcsi.science/1810-2328/article/view/211036
- DOI: https://doi.org/10.1134/S1810232816020065
- ID: 211036
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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.
About the authors
J. A. Lazzús
Departamento de Física
Author for correspondence.
Email: jlazzus@dfuls.cl
Chile, Casilla 554, La Serena
M. Rivera
Departamento de Física
Email: jlazzus@dfuls.cl
Chile, Casilla 554, La Serena
I. Salfate
Departamento de Física
Email: jlazzus@dfuls.cl
Chile, Casilla 554, La Serena
G. Pulgar-Villarroel
Departamento de Física
Email: jlazzus@dfuls.cl
Chile, Casilla 554, La Serena
P. Rojas
Departamento de Física
Email: jlazzus@dfuls.cl
Chile, Casilla 554, La Serena
