Dynamics of multi‑point singular ffth‑order Lane–Emden system with neuro‑evolution heuristics

Sabir, Zulqarnain and Ali, Mohamed R and Fathurrochman, Irwan and Raja, Muhammad Asif Zahoor and Sadat, R (2022) Dynamics of multi‑point singular ffth‑order Lane–Emden system with neuro‑evolution heuristics. Springer Evolving Systems An Interdisciplinary Journal for Advanced Science and Technology.

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Official URL: https://link.springer.com/article/10.1007/s12530-0...

Abstract

The objective of the presented communication is to examine and analyze the solutions of nonlinear multi-singular ffth-order Lane–Emden (LE) system for diferent scenarios by variation of shape factors settled on the equivalent design of the LEequations. The neuro-evolution based stochastic computing is explored for the numerical measures using the artifcial neural networks (ANNs) models for the appropriate continuous mapping, while the learning of decision variables is conducted using the integrated meta-heuristic global search of genetic algorithms (GA) hybrid with the local search efciency of active-set (AS) i.e., ANN-GA-AS scheme. The numerical approach ANN-GA-AS is applied efciently for the ffth kind of nonlinear LE model and statistical calculations further validate the accuracy, robustness as well as convergence

Item Type:

Article

Creators:

Creators	Email
Sabir, Zulqarnain	UNSPECIFIED
Ali, Mohamed R	UNSPECIFIED
Fathurrochman, Irwan	irwan@iaincurup.ac.id
Raja, Muhammad Asif Zahoor	UNSPECIFIED
Sadat, R	UNSPECIFIED