In the last few years, intensive research has been done to enhance artificial intelligence (AI)
using optimization techniques. In this paper, we present an extensive review of artificial …

The intension of the present work is to present the stochastic numerical approach for solving
human immunodeficiency virus (HIV) infection model of cluster of differentiation 4 of T-cells …

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 …

A neuro-heuristic scheme is design to solve nonlinear singular second order system based
on Thomas-Fermi equation using the strength of universal approximation capabilities of …

Bio-inspired computing approaches are effective to solve a variety of dynamical problems.
The strength of these stochastic solvers is exploited for the numerical treatment of a …

In this study, a new computing paradigm is presented for evaluation of dynamics of
nonlinear prey–predator mathematical model by exploiting the strengths of integrated …

Robust modeling of a multimodal dynamic system is a challenging and fast-growing area of
research. In this study, an integrated bi-modal computing paradigm based on Nonlinear …

In the present work, a novel neuro-swarming based heuristic solver is established for the
numerical solutions of fourth-order multi-singular nonlinear Emden–Fowler (FO-MS-NEF) …

In this paper, a bio-inspired computational intelligence technique is presented for solving
nonlinear doubly singular system using artificial neural networks (ANNs), genetic algorithms …

Nature-inspired optimization algorithms have attracted significant attention from researchers
during the past decades due to their applicability to solving the challenging optimization …