Green Computing Optimization Using AI-Enhanced Gravitational Search Algorithm for Sustainable Networks


Date Published : 13 July 2026

Contributors

Nishant

Lincoln University College Malaysia
Author

Keywords

Artificial Intelligence (AI);Gravitational Search Algorithm (GSA);AI-assisted Gravitational Search Algorithm (AI-GSA) ;Particle Swarm Optimization(PSO)

Proceeding

Track

General Track

License

Copyright (c) 2026 Sustainable Global Societies Initiative

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Abstract

Increasing needs of computation, energy consumption rate  and environmental impact of the  society has become a significant problem as well as  sustainable computing plays the   important roll in the  area of research. The main objective of this research is to combine the Artificial Intelligence (AI) algorithm with the Gravitational Search Algorithm (GSA) for improving the optimization process in the green computing environment that directly connected with the global ecosystem. The proposed AI model enhanced the  GSA for energy efficiency,reduce carbon footprint, and optimize resource allocation in sustainable networks. The main emphases of this  study is optimization the  methods for designing sustainable computing systems and discusses the issues of scalability, adaptability and ethics.

References

No References

Downloads

How to Cite

NISHU, D. K. P. (2026). Green Computing Optimization Using AI-Enhanced Gravitational Search Algorithm for Sustainable Networks. Sustainable Global Societies Initiative, 1(7). https://vectmag.com/sgsi/paper/view/576