An improved variant of the conventional Harmony Search algorithm

Contreras, Jhonatan; Amaya, Iván; Correa, Rodrigo

doi:10.1016/j.amc.2013.11.050

Cited by 21 publications

(8 citation statements)

References 12 publications

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“…Our proposed algorithm is similar to the original approach [4], and it was inspired on the success of the ABHS variants [15]. Hence, some of the equations have been shown already, but they will be repeated here for the sake of clarity.…”

Section: Proposed Modification: Self-regulated Fretwidth Harmony Searmentioning

confidence: 98%

“…In the second case (i.e. ABHSv2), FW is kept constant at the value where the best answer was improved [15]. Fig.…”

Section: Adjustable Bandwidth Harmony Search Algorithm (Abhsv1 and Abmentioning

confidence: 99%

“…To solve this, Contreras et al [15] studied two variations that included the definition of a given number of iterations for PAR and HMCR to ramp up (j ramp ), and different ways of updating the fretwidth. In the first case (i.e.…”

Section: Adjustable Bandwidth Harmony Search Algorithm (Abhsv1 and Abmentioning

confidence: 99%

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Harmony Search algorithm: a variant with Self-regulated Fretwidth

Amaya

Cruz

Correa

2015

Applied Mathematics and Computation

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Section: Proposed Modification: Self-regulated Fretwidth Harmony Searmentioning

confidence: 98%

“…In the second case (i.e. ABHSv2), FW is kept constant at the value where the best answer was improved [15]. Fig.…”

Section: Adjustable Bandwidth Harmony Search Algorithm (Abhsv1 and Abmentioning

confidence: 99%

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Harmony Search algorithm: a variant with Self-regulated Fretwidth

Amaya

Cruz

Correa

2015

Applied Mathematics and Computation

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“…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).…”

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

confidence: 99%

“…This algorithm is similar to the original hs approach [10], and it was inspired on the success of the abhs variants [11]. Still, it is also possible to vary the Fretwidth (FW) with each iteration, based on the following three events:…”

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

confidence: 99%

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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