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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| Format: | Article |
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MDPI AG
2021-11-01
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| Series: | Entropy |
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| Online Access: | https://www.mdpi.com/1099-4300/23/11/1513 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T05:31:36Z |
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| id | doaj.art-861c1753ae7c44ec88da40be5baef66a |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-03-10T05:31:36Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-861c1753ae7c44ec88da40be5baef66a2023-11-22T23:16:04ZengMDPI AGEntropy1099-43002021-11-012311151310.3390/e23111513A Hybrid Metaheuristic Based on Neurocomputing for Analysis of Unipolar Electrohydrodynamic Pump FlowMuhammad Fawad Khan0Muhammad Sulaiman1Carlos Andrés Tavera Romero2Ali Alkhathlan3Department of Mathematics, Abdul Wali Khan University, Mardan 23200, PakistanDepartment of Mathematics, Abdul Wali Khan University, Mardan 23200, PakistanCOMBA R&D Laboratory, Faculty of Engineering, Universidad Santiago de Cali, Cali 76001, ColombiaComputer Science Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi ArabiaA 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.https://www.mdpi.com/1099-4300/23/11/1513unipolar pump flowelectrohydrodynamicnonlinear systemssine–cosine algorithmsequential quadratic programmingdynamic parameters |
| spellingShingle | Muhammad Fawad Khan Muhammad Sulaiman Carlos Andrés Tavera Romero Ali Alkhathlan A Hybrid Metaheuristic Based on Neurocomputing for Analysis of Unipolar Electrohydrodynamic Pump Flow Entropy unipolar pump flow electrohydrodynamic nonlinear systems sine–cosine algorithm sequential quadratic programming dynamic parameters |
| title | 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_short | 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 |
| topic | unipolar pump flow electrohydrodynamic nonlinear systems sine–cosine algorithm sequential quadratic programming dynamic parameters |
| url | https://www.mdpi.com/1099-4300/23/11/1513 |
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