On the capabilities and limitations of harmony search for parameter estimation in vapor–liquid equilibrium modeling

Bonilla-Petriciolet, Adrián

doi:10.1016/j.fluid.2012.07.007

Cited by 15 publications

(13 citation statements)

References 34 publications

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“…Besides the above hybrid methods, one common approach is to use stochastic algorithm for global search followed by a local optimizer for intensifying search. Accordingly, a local optimizer has been combined with stochastic optimization algorithms such as GA, SA, PSO, DE and HS [5,6,45,62,[82][83][84][85][86].…”

Section: Hybrid Methodsmentioning

confidence: 99%

A Review on Global Optimization Methods for Phase Equilibrium Modeling and Calculations

Zhang¹,

Bonilla‐Petriciolet

Rangaiah

2011

TOTHERJ

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The phase equilibrium modeling for multi-component systems is essential in process systems engineering. In particular, phase stability analysis, Gibbs free energy minimization and estimation of parameters in thermodynamic models are challenging global optimization problems involved in phase equilibrium calculations and modeling for both reactive and non-reactive systems. To date, many significant works have been performed in the area of global optimization, and several algorithms and computational contributions of global optimization have been used for solving these problems; global optimization methods used include both deterministic and stochastic algorithms. To the best of our knowledge, there is no review in the literature that focuses on the global optimization methods and their applications to phase equilibrium modeling and calculations. In this paper, we briefly describe selected deterministic and stochastic optimization algorithms, and then review their use for phase stability analysis, Gibbs free energy minimization and parameter estimation in phase equilibrium models. In short, we provide a general overview of global optimization for modeling and calculating the phase behavior of systems with and without chemical reactions including the prediction of azeotropes and critical points.

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Section: Hybrid Methodsmentioning

confidence: 99%

A Review on Global Optimization Methods for Phase Equilibrium Modeling and Calculations

Zhang¹,

Bonilla‐Petriciolet

Rangaiah

2011

TOTHERJ

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“…Most of what was found relates to engineering and chemistry, but areas such as computer science also contribute to this field [5][6]. More recent works deal with thermodynamic equilibria on reactive and nonreactive systems, through modern optimization techniques [1,[7][8][9][10]. For example, S. Fateen and A. Bonilla reported on the use of swarm intelligence [7].…”

Section: New Trends Using Optimization Formulationmentioning

confidence: 99%

“…Similarly, the third event is quite close to the one proposed in abhs, and thus we invite the reader to check [11] for an in-depth explanation. The remaining case (i.e., scenario two) is the core of our proposal and it is ruled by equation (1). Throughout this behavior, a random number uniformly distributed between zero and one ( FW r ) is multiplied by a constant ( FW C ), to stochastically adjust the fretwidth (FW) around the value that leads to improving the solution ( j A ).…”

Section: The Self-regulated Fretwidth Harmony Search (Sfhs) Algorithmmentioning

confidence: 99%

“…Here, it was assumed that the partial molar volume of the solvent, 1 V , is close to the mole volume of pure solvent, 1 V , and independent of pressure. The sfhs algorithm was used to determine the best values of 1 V and…”

Section: Calculation Of Fugacity Coefficient ϕ For Component One (Solmentioning

confidence: 99%

“…In this sense, it is highly recommended to identify and study suitable approaches, such as the one used in the present work. As reported in the technical literature, the non-linear parameter estimation in vle modeling can be achieved either by solving a system of non-linear equations, a conventional method, or by direct optimization of the objective function [1].…”

Section: Introduction and Fundamentalsmentioning

confidence: 99%

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Calculation and Prediction of Fugacity and Activity Coefficients in Binary Mixtures, using a Self-Regulated Fretwidth Harmony Search Algorithm

Jimenez

Amaya

Correa

2017

rev.ing.univ.Medellin

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This research article proposes the use of a novel variant of the HS algorithm (harmony search), i.e. SFHS (self-regulated fret width harmony search algorithm), for calculating and predicting fugacity and activity coefficients in binary mixtures. Parameter selection was carried out based on preliminary results with different standard test functions. Different previously reported systems were selected, at 25 ° C and 40 ° C, and at low and moderate pressure levels. Moreover, two solutes were selected: carbon dioxide and ethane. Different solvents, both polar and nonpolar, were selected with comparative purposes. Activity and fugacity coefficients were calculated using the Redlich-Kwong state equation and Lewis rule, along with the sfhs algorithm, assuming both solutes in vapor phase. Consistency of the activity coefficients was analyzed by the Redlich-Kister strategy. Results were very close to those found experimentally by other authors, and most of them did not differ in more than one percentage unit. 68 Revista Ingenierías Universidad de MedellínCristian Jiménez -Iván Amaya -Rodrigo Correa Cálculo y predicción de coeficientes de fugacidad y actividad en mezclas binarias mediante el algoritmo de búsqueda armónica con ancho de banda autoajustable Resumen El presente artículo de investigación propone el uso de la nueva variante del algoritmo hs (Harmony Search), esto es, el sfhs (Self-Regulated Fretwidth Harmony Search Algorithm) para el cálculo y predicción de coeficientes de fugacidad y actividad en mezclas binarias. La selección de los parámetros de ejecución del algoritmo sfhs se realizó con base en pruebas preliminares con diferentes funciones de prueba estándar. Se seleccionaron sistemas previamente reportados en la literatura, a 25 ºC y 40 ºC, y a presiones bajas y moderadas. Adicionalmente, se seleccionaron dos solutos diferentes: dióxido de carbono y etano. Se tomaron diferentes solventes, polares y no polares, con propósitos comparativos. Los coeficientes de actividad y fugacidad se calcularon utilizando la ecuación de estado Redlich-Kwong y la regla de Lewis, junto con el algoritmo sfhs para los dos solutos en fase vapor. La consistencia de los coeficientes de actividad se analizó mediante la estrategia de Redlich-Kister. Se obtuvieron resultados muy cercanos a los encontrados experimentalmente por otros autores y en su mayoría, no difirieron en más de una unidad porcentual.Palabras clave: coeficiente de fugacidad, coeficiente de actividad, mezclas binarias, equilibrio termodinámico, algoritmos de optimización global. Calculation and Prediction of Fugacity and Activity Coefficients in Binary Mixtures, using a Self-Regulated ...

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Phase Equilibrium Description of a Supercritical Extraction System Using Metaheuristic Optimization Algorithms

Amaya

Jimenez

Correa

2018

Bioinspired Heuristics for Optimization

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On the capabilities and limitations of harmony search for parameter estimation in vapor–liquid equilibrium modeling

Cited by 15 publications

References 34 publications

A Review on Global Optimization Methods for Phase Equilibrium Modeling and Calculations

A Review on Global Optimization Methods for Phase Equilibrium Modeling and Calculations

Calculation and Prediction of Fugacity and Activity Coefficients in Binary Mixtures, using a Self-Regulated Fretwidth Harmony Search Algorithm

Phase Equilibrium Description of a Supercritical Extraction System Using Metaheuristic Optimization Algorithms

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