Efficient Feature Selection in High Dimensional Data Based on Enhanced Binary Chimp Optimization Algorithms and Machine Learning

Abstract Feature selection with the highest performance accuracy is the biggest win for multidimensional data. The Chimpanzee Optimization Algorithm (ChOA) serves as a crucial technique for dealing with multidimensional global optimization issues. However, ChOA often lacks fast convergence and good...

Full description

Bibliographic Details

Published in:	Human-Centric Intelligent Systems
Main Authors:	Farid Ayeche, Adel Alti
Format:	Article
Language:	English
Published:	Springer Nature 2023-11-01
Subjects:	Feature selection BChimp Machine learning Dimensionality reduction Relevancy Classification accuracy
Online Access:	https://doi.org/10.1007/s44230-023-00048-w