A hybrid metaheuristic based on neurocomputing for analysis of unipolar electrohydrodynamic pump flow

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dc.contributor.authorKhan, Muhammad Fawad
dc.contributor.authorSulaiman, Muhammad
dc.contributor.authorTavera Romero, Carlos Andrés
dc.contributor.authorAlkhathlan, Ali
dc.date.accessioned2025-04-08T21:42:04Z
dc.date.available2025-04-08T21:42:04Z
dc.date.issued2021-11
dc.description.abstractA 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 (Es ), the electrical Reynolds number (ReE ), and electrical slip number (Esl ), 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.
dc.identifier.citationKhan, M. F., Sulaiman, M., Tavera Romero, C. A., & Alkhathlan, A. (2021). A hybrid metaheuristic based on neurocomputing for analysis of unipolar electrohydrodynamic pump flow. Entropy, 23(11). https://doi.org/10.3390/e23111513
dc.identifier.issn10994300
dc.identifier.urihttps://repositorio.usc.edu.co/handle/20.500.12421/6393
dc.language.isoen
dc.subjectCharge density
dc.subjectDynamic parameters
dc.subjectElectric potential
dc.subjectElectrohydrodynamic
dc.subjectNeurocomputing
dc.subjectNonlinear systems
dc.subjectSequential quadratic programming
dc.subjectSine–cosine algorithm
dc.subjectUnipolar pump flow
dc.titleA hybrid metaheuristic based on neurocomputing for analysis of unipolar electrohydrodynamic pump flow
dc.typeArticle

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