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In this study, a neuro-evolutionary technique is developed for solving singularly perturbed boundary value problems (SP-BVPs) of linear and nonlinear ordinary differential equations (ODEs) by exploiting the strength of feed-forward artificial neural networks (ANNs), genetic algorithms (GAs) and sequential quadratic programming (SQP) technique. Mathematical modeling of SP-BVPs is constructed by using...
In the present study, a new soft computing framework is developed for solving nanofluidic problems based on fluid flow and heat transfer of multi-walled carbon nanotube (MWCNT) along a flat plate with Navier slip boundary with the help of artificial neural networks (ANNs), Genetic Algorithms (GAs), Interior-Point Algorithm (IPA), and hybridized approach GA-IPA. Original PDEs associated with the problem...
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