Application of Particle Swarm plus Ant Colony Optimization to Calculate the Interaction Parameters on Phase Equilibria

作者:Lazzus J A*; Rivera M; Salfate I; Pulgar Villarroel G; Rojas P
来源:Journal of Engineering Thermophysics, 2016, 25(2): 216-226.
DOI:10.1134/S1810232816020065

摘要

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.

  • 出版日期2016-4