Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0378-3812(01)00528-3
Title: Evaluation of genetic algorithms and simulated annealing for phase equilibrium and stability problems
Authors: Rangaiah, G.P. 
Keywords: Free energy minimization
Liquid-liquid equilibria
Phase equilibrium calculations
Phase stability analysis
Tangent plane criterion
Vapor-liquid equilibria
Issue Date: 15-Sep-2001
Source: Rangaiah, G.P. (2001-09-15). Evaluation of genetic algorithms and simulated annealing for phase equilibrium and stability problems. Fluid Phase Equilibria 187-188 : 83-109. ScholarBank@NUS Repository. https://doi.org/10.1016/S0378-3812(01)00528-3
Abstract: Phase equilibrium calculations require global minimization of free energy, and phase stability analysis too often involves global minimization of tangent plane distance function (TPDF). In this study, two stochastic global optimization techniques, namely, genetic algorithm (GA) and simulated annealing (SA) are evaluated and compared for phase equilibrium and stability problems. Typical examples and different thermodynamic models are considered. The results show that GA is generally more efficient and reliable than SA for phase equilibrium calculations. Both GA and SA exhibited poor reliability for locating the global minimum of free energy function for some complex phase equilibrium systems. For these problems, a hybrid GA incorporating SA for individual learning, is proposed and its improved capability is shown. The results on phase stability problems show that GA is able to locate the global minimum of TPDF with 100% reliability in all the examples tried. It is also found to be very efficient compared to other global techniques reported in the literature. Copyright © 2001 Elsevier Science B.V.
Source Title: Fluid Phase Equilibria
URI: http://scholarbank.nus.edu.sg/handle/10635/66586
ISSN: 03783812
DOI: 10.1016/S0378-3812(01)00528-3
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