Multi strategy Horned Lizard Optimization Algorithm for complex optimization and advanced feature selection problems

Multi strategy Horned Lizard Optimization Algorithm for complex optimization and advanced feature selection problems

Abstract Feature selection (FS) is a critical process in classification tasks within artificial intelligence, aimed at identifying a minimal yet highly informative subset of features to maximize classification accuracy. As a combinatorial NP-hard problem, FS necessitates using powerful metaheuristic...

Full description

Saved in:
Bibliographic Details
Main Authors: Marwa M. Emam, Mosa E. Hosney, Reham R. Mostafa, Essam H. Houssein
Format: Article
Language:English
Published: SpringerOpen 2025-06-01
Series:Journal of Big Data
Subjects:
Horned Lizard Optimization Algorithm
Feature selection
Local escaping operator
Orthogonal learning
Online Access:https://doi.org/10.1186/s40537-025-01205-7
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s40537-025-01205-7

Similar Items