Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.cherd.2012.04.011
DC FieldValue
dc.titleEvaluation of Covariance Matrix Adaptation Evolution Strategy, Shuffled Complex Evolution and Firefly Algorithms for phase stability, phase equilibrium and chemical equilibrium problems
dc.contributor.authorFateen, S.E.K.
dc.contributor.authorBonilla-Petriciolet, A.
dc.contributor.authorRangaiah, G.P.
dc.date.accessioned2014-06-17T07:40:33Z
dc.date.available2014-06-17T07:40:33Z
dc.date.issued2012-12
dc.identifier.citationFateen, S.E.K., Bonilla-Petriciolet, A., Rangaiah, G.P. (2012-12). Evaluation of Covariance Matrix Adaptation Evolution Strategy, Shuffled Complex Evolution and Firefly Algorithms for phase stability, phase equilibrium and chemical equilibrium problems. Chemical Engineering Research and Design 90 (12) : 2051-2071. ScholarBank@NUS Repository. https://doi.org/10.1016/j.cherd.2012.04.011
dc.identifier.issn02638762
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/63872
dc.description.abstractPhase equilibrium calculations and phase stability analysis of reactive and non-reactive systems play a significant role in the simulation, design and optimization of reaction and separation processes in chemical engineering. These challenging problems, which are often multivariable and non-convex, require global optimization methods for solving them. Stochastic global optimization algorithms have shown promise in providing reliable and efficient solutions for these thermodynamic problems. In this study, we evaluate three alternative global optimization algorithms for phase and chemical equilibrium calculations, namely, Covariant Matrix Adaptation-Evolution Strategy (CMA-ES), Shuffled Complex Evolution (SCE) and Firefly Algorithm (FA). The performance of these three stochastic algorithms was tested and compared to identify their relative strengths for phase equilibrium and phase stability problems. The phase equilibrium problems include both multi-component systems with and without chemical reactions. FA was found to be the most reliable among the three techniques, whereas CMA-ES can find the global minimum reliably and accurately even with a smaller number of iterations. © 2012 The Institution of Chemical Engineers.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.cherd.2012.04.011
dc.sourceScopus
dc.subjectChemical equilibrium calculations
dc.subjectCovariant Matrix Adaptation Evolution Strategy
dc.subjectPhase equilibrium calculations
dc.subjectPhase stability analysis
dc.subjectShuffled Complex Evolution
dc.typeArticle
dc.contributor.departmentCHEMICAL & BIOMOLECULAR ENGINEERING
dc.description.doi10.1016/j.cherd.2012.04.011
dc.description.sourcetitleChemical Engineering Research and Design
dc.description.volume90
dc.description.issue12
dc.description.page2051-2071
dc.description.codenCERDE
dc.identifier.isiut000313228300001
Appears in Collections:Staff Publications

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

SCOPUSTM   
Citations

39
checked on Nov 25, 2020

WEB OF SCIENCETM
Citations

28
checked on Nov 25, 2020

Page view(s)

72
checked on Nov 23, 2020

Google ScholarTM

Check

Altmetric


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