Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.fluid.2011.08.002
Title: Evaluation of integrated differential evolution and unified bare-bones particle swarm optimization for phase equilibrium and stability problems
Authors: Zhang, H.
Fernández-Vargas, J.A.
Rangaiah, G.P. 
Bonilla-Petriciolet, A.
Segovia-Hernández, J.G.
Keywords: Bare-bones particle swarm optimization
Chemical equilibrium calculations
Integrated differential evolution
Phase equilibrium calculations
Phase stability analysis
Issue Date: 25-Nov-2011
Source: Zhang, H., Fernández-Vargas, J.A., Rangaiah, G.P., Bonilla-Petriciolet, A., Segovia-Hernández, J.G. (2011-11-25). Evaluation of integrated differential evolution and unified bare-bones particle swarm optimization for phase equilibrium and stability problems. Fluid Phase Equilibria 310 (1-2) : 129-141. ScholarBank@NUS Repository. https://doi.org/10.1016/j.fluid.2011.08.002
Abstract: Phase equilibrium calculations and phase stability analysis play a significant role in the simulation, design and optimization of separation processes in chemical engineering. These are very challenging problems due to the high non-linearity of thermodynamic models. Global optimization methods are required in order to solve these complex, non-convex optimization problems. Recently, stochastic global optimization algorithms were applied to solve these problems. However, these optimization methods have some parameters that need to be tuned in order to obtain good reliability and efficiency. In this study, we introduce three global optimization algorithms developed by our group for phase and chemical equilibrium calculations, namely, unified bare-bones particle swarm optimization (UBBPSO), integrated differential evolution (IDE) and IDE without tabu list and radius (IDE_N), which have fewer control parameters to be tuned. The performance of these three stochastic algorithms is tested and compared in order to identify their relative strengths for phase equilibrium and phase stability problems. The phase equilibrium problems include both without and with chemical reactions. Our results show that the effectiveness of the stochastic methods tested depends on the stopping criterion. Overall, IDE has achieved better performance for the phase equilibrium, chemical equilibrium and phase stability problems. © 2011 Elsevier B.V.
Source Title: Fluid Phase Equilibria
URI: http://scholarbank.nus.edu.sg/handle/10635/63875
ISSN: 03783812
DOI: 10.1016/j.fluid.2011.08.002
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