Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.fluid.2012.12.002
Title: Assessment of capabilities and limitations of stochastic global optimization methods for modeling mean activity coefficients of ionic liquids
Authors: Bonilla-Petriciolet, A.
Fateen, S.E.K.
Rangaiah, G.P. 
Keywords: Global optimization
Ionic liquids
Parameter estimation
Stochastic optimization methods
Issue Date: 25-Feb-2013
Source: Bonilla-Petriciolet, A., Fateen, S.E.K., Rangaiah, G.P. (2013-02-25). Assessment of capabilities and limitations of stochastic global optimization methods for modeling mean activity coefficients of ionic liquids. Fluid Phase Equilibria 340 : 15-26. ScholarBank@NUS Repository. https://doi.org/10.1016/j.fluid.2012.12.002
Abstract: In this paper, we have studied and analyzed the capabilities and limitations of seven stochastic global optimization methods to model mean activity coefficients of ammonium aqueous electrolytes using the electrolyte NRTL model. These stochastic methods are: simulated annealing (SA), genetic algorithm (GA), differential evolution (DE), particle swarm optimization (PSO), DE with tabu list (DETL), harmony search (HS) and bare bones PSO (BBPSO). Convergence characteristics and performances of these optimization methods have been tested and compared using different stopping conditions. Overall, our results indicate that SA, DETL and BBPSO offer better performance and promising convergence characteristics for solving parameter estimation problems involved in the modeling of thermodynamic properties of ionic liquids (ILs). © 2012 Elsevier B.V.
Source Title: Fluid Phase Equilibria
URI: http://scholarbank.nus.edu.sg/handle/10635/63515
ISSN: 03783812
DOI: 10.1016/j.fluid.2012.12.002
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

10
checked on Dec 5, 2017

WEB OF SCIENCETM
Citations

9
checked on Dec 5, 2017

Page view(s)

20
checked on Dec 11, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.