Despite the simplicity of the whale optimization algorithm (WOA) and its success in solving
some optimization problems, it faces many issues. Thus, WOA has attracted scholars' …

Abstract Machine learning and data mining rely on feature selection to reduce the dimension
of data and increase the performance of algorithms. As a result of such a large search …

Abstract The Chimp Optimization Algorithm (ChOA) is a cutting-edge swarm intelligence
algorithm that models the social status ties and hunting behavior of chimps to solve complex …

The selection of attributes has become a crucial research focus in the domains of pattern
recognition, machine learning, and big data analysis. In essence, the contemporary …

Feature Selection (FS) is an important problem that involves selecting the most informative
subset of features from a dataset to improve classification accuracy. However, due to the …

Feature selection (FS) plays a vital role in minimizing the high-dimensional data as much as
possible to aid in enhancing the classification accuracy and reducing computational costs …