Jadoon, Ihtesham Raja, Muhammad Asif Zahoor Awan, Saeed Ehsan Shah, Sayyar Ali Rehman, Ata ur Akhtar, Rizwan Jadoon, Zeeshan Ali Safdar Yuan, Aihua 2024-10-04T02:00:07Z 2024-10-04T02:00:07Z 2024-10-02 2024-12 1110-0168 https://pubs.kist.re.kr/handle/201004/150715 This research implements an evolutionary optimized finite differences scheme (FDS) for nonlinear electrohydrodynamics ion drag flow dynamics in a cylindrical conduit (EHD-IDFCC). In the scheme, finite differences are exploited to discretize governing expressions of EHD-IDFCC, represented with a nonlinear singular seconder order differential equation, into a nonlinear equations-based system. The fitness function based on residual error is constructed for the FDS-based discretized EHD-IDFCC model. Its optimization is conducted with the global search capability of genetic algorithms (GAs) aided by the local search efficacy of the interior-point method (IPM), i.e., FDS-GA-IPM. The performance of the designed stochastic numerical solver FDS-GA-IPM is evaluated for a variant of the EHD-IDFCC model for different scenarios to measure the effect of axial flow velocity by varying the electric Hartmann numbers, as well as the nonlinearity factor. Statistical interpretations based on histogram illustrations, probability plots, and boxplots in terms of the cost function, mean absolute error (MAE), Thai inequality coefficients (TIC), and coefficient of determination metrics (R2) are used to endorse the accuracy, convergence, stability, and strength of the FDS-GA-IPM. English ELSEVIER Design of integrated evolutionary finite differences for nonlinear electrohydrodynamics ion drag flow in cylindrical conduit model Article 10.1016/j.aej.2024.09.002 1 Alexandria Engineering Journal, v.109, pp.443 - 465 Alexandria Engineering Journal 109 443 465 Y scie scopus 001315014600001 2-s2.0-85203532093 Engineering, Multidisciplinary Engineering Article ELECTRO-HYDRODYNAMIC FLOW ARTIFICIAL-INTELLIGENCE FLUID SIMULATION ALGORITHM NETWORKS Electrohydrodynamic Evolutionary Computing Finite Difference Scheme Genetic algorithms Interior point algorithm Singular System