Optimization of Process Design Problems Using Differential Evolution Algorithm

A. M. Gujarathi; G. Vakili-Nezhaad; M. Vatani

doi:10.24200/tjer.vol13iss1pp89-102

Optimization of Process Design Problems Using Differential Evolution Algorithm

A. M. Gujarathi^*, G. Vakili-Nezhaad, M. Vatani

^*Corresponding author for this work

Petroleum and Chemical Engineering

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

A modified differential evolution algorithm (MDE) has been used for solving different process related design problems (namely calculation of the NRTL and Two-Suffix Margules activity coefficient models parameters in 20 ternary extraction systems including different ionic liquids and reactor network design problem). The obtained results, in terms of root mean square deviations (rmsd) for these models are satisfactory, with the overall values of 0.0023 and 0.0170 for 169 tie-lines for NRTL and Two-Suffix Margules models, respectively. The results showed that the MDE algorithm results in better solutions compared to the previous work based on genetic algorithm (GA) for correlating liquid-liquid equilibrium (LLE) data in these systems. MDE also outperformed DE algorithm when tested on reactor network design problem with respect to convergence and speed.

Original language	English
Pages (from-to)	88-101
Number of pages	14
Journal	Journal of Engineering Research
Volume	13
Issue number	1
DOIs	https://doi.org/10.24200/tjer.vol13iss1pp89-102
Publication status	Published - 2016

Keywords

Ionic liquid
NRTL
Optimization
Parameter estimation
Two-suffix margules

ASJC Scopus subject areas

General Engineering

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10.24200/tjer.vol13iss1pp89-102

Cite this

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title = "Optimization of Process Design Problems Using Differential Evolution Algorithm",

abstract = "A modified differential evolution algorithm (MDE) has been used for solving different process related design problems (namely calculation of the NRTL and Two-Suffix Margules activity coefficient models parameters in 20 ternary extraction systems including different ionic liquids and reactor network design problem). The obtained results, in terms of root mean square deviations (rmsd) for these models are satisfactory, with the overall values of 0.0023 and 0.0170 for 169 tie-lines for NRTL and Two-Suffix Margules models, respectively. The results showed that the MDE algorithm results in better solutions compared to the previous work based on genetic algorithm (GA) for correlating liquid-liquid equilibrium (LLE) data in these systems. MDE also outperformed DE algorithm when tested on reactor network design problem with respect to convergence and speed.",

keywords = "Ionic liquid, NRTL, Optimization, Parameter estimation, Two-suffix margules",

author = "Gujarathi, {A. M.} and G. Vakili-Nezhaad and M. Vatani",

note = "Funding Information: The authors are grateful to Petroleum and Chemical Engineering Department of Sultan Qaboos University for supporting this study. Publisher Copyright: {\textcopyright} 2016, Journal of Engineering Research. All Rights Reserved.",

year = "2016",

doi = "10.24200/tjer.vol13iss1pp89-102",

language = "English",

volume = "13",

pages = "88--101",

journal = "Journal of Engineering Research",

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T1 - Optimization of Process Design Problems Using Differential Evolution Algorithm

AU - Gujarathi, A. M.

AU - Vakili-Nezhaad, G.

AU - Vatani, M.

N1 - Funding Information: The authors are grateful to Petroleum and Chemical Engineering Department of Sultan Qaboos University for supporting this study. Publisher Copyright: © 2016, Journal of Engineering Research. All Rights Reserved.

PY - 2016

Y1 - 2016

N2 - A modified differential evolution algorithm (MDE) has been used for solving different process related design problems (namely calculation of the NRTL and Two-Suffix Margules activity coefficient models parameters in 20 ternary extraction systems including different ionic liquids and reactor network design problem). The obtained results, in terms of root mean square deviations (rmsd) for these models are satisfactory, with the overall values of 0.0023 and 0.0170 for 169 tie-lines for NRTL and Two-Suffix Margules models, respectively. The results showed that the MDE algorithm results in better solutions compared to the previous work based on genetic algorithm (GA) for correlating liquid-liquid equilibrium (LLE) data in these systems. MDE also outperformed DE algorithm when tested on reactor network design problem with respect to convergence and speed.

AB - A modified differential evolution algorithm (MDE) has been used for solving different process related design problems (namely calculation of the NRTL and Two-Suffix Margules activity coefficient models parameters in 20 ternary extraction systems including different ionic liquids and reactor network design problem). The obtained results, in terms of root mean square deviations (rmsd) for these models are satisfactory, with the overall values of 0.0023 and 0.0170 for 169 tie-lines for NRTL and Two-Suffix Margules models, respectively. The results showed that the MDE algorithm results in better solutions compared to the previous work based on genetic algorithm (GA) for correlating liquid-liquid equilibrium (LLE) data in these systems. MDE also outperformed DE algorithm when tested on reactor network design problem with respect to convergence and speed.

KW - Ionic liquid

KW - NRTL

KW - Optimization

KW - Parameter estimation

KW - Two-suffix margules

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JO - Journal of Engineering Research

JF - Journal of Engineering Research

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Optimization of Process Design Problems Using Differential Evolution Algorithm

Abstract

Keywords

ASJC Scopus subject areas

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