Open access
Aug 2026
Elastic net–guided NSGA-II for scalable multi-objective feature selection in high-dimensional data analytics
An Elastic Net–Guided NSGA-II framework that integrates sparsity-aware statistical regularisation and multi-objective evolutionary optimisation is proposed, supporting a wide range of real-world applications, such as bioinformatics, healthcare, and financial analytics.
S. Subhani, Gudipati Murali, Chandra Sekhar Sanaboina
· Discover Computing · 0 citations