A Hybrid Metaheuristic Based on Neurocomputing for Analysis of Unipolar Electrohydrodynamic Pump Flow

A unipolar electrohydrodynamic (UP-EHD) pump flow is studied with known electric potential at the emitter and zero electric potential at the collector. The model is designed for electric potential, charge density, and electric field. The dimensionless parameters, namely the electrical source number...

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Autores principales:	Muhammad Fawad Khan, Muhammad Sulaiman, Carlos Andrés Tavera Romero, Ali Alkhathlan
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	unipolar pump flow electrohydrodynamic nonlinear systems sine–cosine algorithm sequential quadratic programming dynamic parameters Science Q Astrophysics QB460-466 Physics QC1-999
Acceso en línea:	https://doaj.org/article/861c1753ae7c44ec88da40be5baef66a
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spelling	oai:doaj.org-article:861c1753ae7c44ec88da40be5baef66a2021-11-25T17:30:24ZA Hybrid Metaheuristic Based on Neurocomputing for Analysis of Unipolar Electrohydrodynamic Pump Flow10.3390/e231115131099-4300https://doaj.org/article/861c1753ae7c44ec88da40be5baef66a2021-11-01T00:00:00Zhttps://www.mdpi.com/1099-4300/23/11/1513https://doaj.org/toc/1099-4300A unipolar electrohydrodynamic (UP-EHD) pump flow is studied with known electric potential at the emitter and zero electric potential at the collector. The model is designed for electric potential, charge density, and electric field. The dimensionless parameters, namely the electrical source number <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>(</mo><msub><mi>E</mi><mi>s</mi></msub><mo>)</mo></mrow></semantics></math></inline-formula>, the electrical Reynolds number <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>(</mo><msub><mi>R</mi><msub><mi>e</mi><mi>E</mi></msub></msub><mo>)</mo></mrow></semantics></math></inline-formula>, and electrical slip number <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>(</mo><msub><mi>E</mi><mrow><mi>s</mi><mi>l</mi></mrow></msub><mo>)</mo></mrow></semantics></math></inline-formula>, are considered with wide ranges of variation to analyze the UP-EHD pump flow. To interpret the pump flow of the UP-EHD model, a hybrid metaheuristic solver is designed, consisting of the recently developed technique sine–cosine algorithm (SCA) and sequential quadratic programming (SQP) under the influence of an artificial neural network. The method is abbreviated as ANN-SCA-SQP. The superiority of the technique is shown by comparing the solution with reference solutions. For a large data set, the technique is executed for one hundred independent experiments. The performance is evaluated through performance operators and convergence plots.Muhammad Fawad KhanMuhammad SulaimanCarlos Andrés Tavera RomeroAli AlkhathlanMDPI AGarticleunipolar pump flowelectrohydrodynamicnonlinear systemssine–cosine algorithmsequential quadratic programmingdynamic parametersScienceQAstrophysicsQB460-466PhysicsQC1-999ENEntropy, Vol 23, Iss 1513, p 1513 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	unipolar pump flow electrohydrodynamic nonlinear systems sine–cosine algorithm sequential quadratic programming dynamic parameters Science Q Astrophysics QB460-466 Physics QC1-999
spellingShingle	unipolar pump flow electrohydrodynamic nonlinear systems sine–cosine algorithm sequential quadratic programming dynamic parameters Science Q Astrophysics QB460-466 Physics QC1-999 Muhammad Fawad Khan Muhammad Sulaiman Carlos Andrés Tavera Romero Ali Alkhathlan A Hybrid Metaheuristic Based on Neurocomputing for Analysis of Unipolar Electrohydrodynamic Pump Flow
description	A unipolar electrohydrodynamic (UP-EHD) pump flow is studied with known electric potential at the emitter and zero electric potential at the collector. The model is designed for electric potential, charge density, and electric field. The dimensionless parameters, namely the electrical source number <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>(</mo><msub><mi>E</mi><mi>s</mi></msub><mo>)</mo></mrow></semantics></math></inline-formula>, the electrical Reynolds number <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>(</mo><msub><mi>R</mi><msub><mi>e</mi><mi>E</mi></msub></msub><mo>)</mo></mrow></semantics></math></inline-formula>, and electrical slip number <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>(</mo><msub><mi>E</mi><mrow><mi>s</mi><mi>l</mi></mrow></msub><mo>)</mo></mrow></semantics></math></inline-formula>, are considered with wide ranges of variation to analyze the UP-EHD pump flow. To interpret the pump flow of the UP-EHD model, a hybrid metaheuristic solver is designed, consisting of the recently developed technique sine–cosine algorithm (SCA) and sequential quadratic programming (SQP) under the influence of an artificial neural network. The method is abbreviated as ANN-SCA-SQP. The superiority of the technique is shown by comparing the solution with reference solutions. For a large data set, the technique is executed for one hundred independent experiments. The performance is evaluated through performance operators and convergence plots.
format	article
author	Muhammad Fawad Khan Muhammad Sulaiman Carlos Andrés Tavera Romero Ali Alkhathlan
author_facet	Muhammad Fawad Khan Muhammad Sulaiman Carlos Andrés Tavera Romero Ali Alkhathlan
author_sort	Muhammad Fawad Khan
title	A Hybrid Metaheuristic Based on Neurocomputing for Analysis of Unipolar Electrohydrodynamic Pump Flow
title_short	A Hybrid Metaheuristic Based on Neurocomputing for Analysis of Unipolar Electrohydrodynamic Pump Flow
title_full	A Hybrid Metaheuristic Based on Neurocomputing for Analysis of Unipolar Electrohydrodynamic Pump Flow
title_fullStr	A Hybrid Metaheuristic Based on Neurocomputing for Analysis of Unipolar Electrohydrodynamic Pump Flow
title_full_unstemmed	A Hybrid Metaheuristic Based on Neurocomputing for Analysis of Unipolar Electrohydrodynamic Pump Flow
title_sort	hybrid metaheuristic based on neurocomputing for analysis of unipolar electrohydrodynamic pump flow
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/861c1753ae7c44ec88da40be5baef66a
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_version_	1718412296367112192

A Hybrid Metaheuristic Based on Neurocomputing for Analysis of Unipolar Electrohydrodynamic Pump Flow

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