Feature selection (FS) is commonly thought of as a pre-processing strategy for determining
the best subset of characteristics from a given collection of features. Here, a novel discrete …

Metaheuristic algorithms have received much attention recently for solving different
optimization and engineering problems. Most of these methods were inspired by nature or …

The processes of retrieving useful information from a dataset are an important data mining
technique that is commonly applied, known as Data Clustering. Recently, nature-inspired …

Event Detection (ED) is a study area that attracts the attention of decision-makers from
various disciplines in order to help them in taking the right decision. ED has been examined …

The new era knowledge of optimization algorithm is massively boosted recently. Among
several optimization models, multi-swarm approach has been proposed most recently for …

This work aims to discover the relevant factors to predict the health condition of COVID-19
patients by employing a fresh and enhanced binary multi-objective hybrid filter-wrapper …

Bat Algorithm (BA) has been extensively applied as an optimal Feature Selection (FS)
technique for solving a wide variety of optimization problems due to its impressive …

Wrapper Feature Selection (FS) methods based on the Binary Bat Algorithm (BBA) have
recently been employed in a variety of detection applications to determine the most relevant …

Recently, there is a huge amount of data accessible in the field of medicine that enables
physicians diagnose diseases when analyzed. Data mining technology can be used to …

Cancer is a globally recognized cause of death. A proper cancer analysis demands the
classification of several types of tumor. Investigations into microarray gene expressions …