Quantum-Inspired gravitationally guided particle swarm optimization for feature selection and classification

Abstract Population-based metaheuristic optimization algorithms have gained prominence for tackling complex optimization problems. They balance exploration and exploitation, essential for finding optimal solutions. While algorithms like Genetic Algorithms, Particle Swarm Optimization, and Gravitatio...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Saleem Malik, S Gopal Krishna Patro, Chandrakanta Mahanty, Ayodele Lasisi, Quadri Noorulhasan Naveed, Abdulrajak Buradi, Addisu Frinjo Emma, Saravanapriya Kumar, Azath Mubarakali
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-10-01
Subjects:	Optimization algorithms; Feature selection Data analysis Particle swarm optimization
Online Access:	https://doi.org/10.1038/s41598-025-14793-4