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A comparative study of particle swarm optimization and its variants for phase stability and equilibrium calculations in multicomponent reactive and non-reactive systems
Authors:Adriá  n Bonilla-Petriciolet,Juan Gabriel Segovia-Herná  ndez
Affiliation:1. Instituto Tecnológico de Aguascalientes, Chemical Engineering Department, C.P. 20256 Aguascalientes, Mexico;2. Universidad de Guanajuato, Chemical Engineering Department, Campus Guanajuato, C.P. 36050 Guanajuato, Mexico
Abstract:Particle swarm optimization is a novel evolutionary stochastic global optimization method that has gained popularity in the chemical engineering community. This optimization strategy has been successfully used for several applications including thermodynamic calculations. To the best of our knowledge, the performance of PSO in phase stability and equilibrium calculations for both multicomponent reactive and non-reactive mixtures has not yet been reported. This study introduces the application of particle swarm optimization and several of its variants for solving phase stability and equilibrium problems in multicomponent systems with or without chemical equilibrium. The reliability and efficiency of a number of particle swarm optimization algorithms are tested and compared using multicomponent systems with vapor–liquid and liquid–liquid equilibrium. Our results indicate that the classical particle swarm optimization with constant cognitive and social parameters is a reliable method and offers the best performance for global minimization of the tangent plane distance function and the Gibbs energy function in both reactive and non-reactive systems.
Keywords:Phase stability   Phase equilibrium   Particle swarm optimization   Chemical equilibrium
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