Integrated neuro-evolution-based computing solver for dynamics of nonlinear corneal shape model numerically
In this study, bio-inspired computational techniques have been exploited to get the
numerical solution of a nonlinear two-point boundary value problem arising in the modelling …
numerical solution of a nonlinear two-point boundary value problem arising in the modelling …
[HTML][HTML] Integrated neuro-swarm heuristic with interior-point for nonlinear SITR model for dynamics of novel COVID-19
The present study is related to present a novel design of intelligent solvers with a neuro-
swarm heuristic integrated with interior-point algorithm (IPA) for the numerical investigations …
swarm heuristic integrated with interior-point algorithm (IPA) for the numerical investigations …
Neuro-swarm intelligent computing paradigm for nonlinear HIV infection model with CD4+ T-cells
In the investigations presented here, an efficient computing approach is applied to solve
Human Immunodeficiency Virus (HIV) infection spread. This approach involves CD4+ T-cells …
Human Immunodeficiency Virus (HIV) infection spread. This approach involves CD4+ T-cells …
[HTML][HTML] A new evolutionary algorithm: Learner performance based behavior algorithm
A novel evolutionary algorithm called learner performance based behavior algorithm (LPB)
is proposed in this article. The basic inspiration of LPB originates from the process of …
is proposed in this article. The basic inspiration of LPB originates from the process of …
[HTML][HTML] Solving a novel designed second order nonlinear Lane–Emden delay differential model using the heuristic techniques
The aim of the present study is to present a new model based on the nonlinear singular
second order delay differential equation of Lane–Emden type and numerically solved by …
second order delay differential equation of Lane–Emden type and numerically solved by …
[HTML][HTML] A novel design of fractional Meyer wavelet neural networks with application to the nonlinear singular fractional Lane-Emden systems
In this study, a novel stochastic computational frameworks based on fractional Meyer
wavelet artificial neural network (FMW-ANN) is designed for nonlinear-singular fractional …
wavelet artificial neural network (FMW-ANN) is designed for nonlinear-singular fractional …
[HTML][HTML] A novel study of Morlet neural networks to solve the nonlinear HIV infection system of latently infected cells
The aim of this study is to provide the numerical outcomes of a nonlinear HIV infection
system of latently infected CD4+ T cells exists in bioinformatics using Morlet wavelet (MW) …
system of latently infected CD4+ T cells exists in bioinformatics using Morlet wavelet (MW) …
Fractional mayer neuro-swarm heuristic solver for multi-fractional order doubly singular model based on lane–emden equation
This research is related to present a novel fractional Mayer neuro-swarming intelligent
solver for the numerical treatment of multi-fractional order doubly singular Lane–Emden (LE) …
solver for the numerical treatment of multi-fractional order doubly singular Lane–Emden (LE) …
Meyer wavelet neural networks to solve a novel design of fractional order pantograph Lane-Emden differential model
The aim of this study is to design a singular fractional order pantograph differential model by
using the typical form of the Lane-Emden model. The necessary details of the singular-point …
using the typical form of the Lane-Emden model. The necessary details of the singular-point …
Multi-population improved whale optimization algorithm for high dimensional optimization
Y Sun, Y Chen - Applied Soft Computing, 2021 - Elsevier
The metaheuristic algorithms do not depend on the functional form when solving the
optimization problem. They have strong adaptability and are widely used in many fields …
optimization problem. They have strong adaptability and are widely used in many fields …