Bat-inspired algorithm (BA) is a robust swarm intelligence algorithm that finds success in
many problem domains. The ecosystem of bat animals inspires the main idea of BA. This …

The Q-Learning algorithm is a reinforcement learning technique widely used in various
fields such as path planning, intelligent transportation, penetration testing, among others. It …

Spam emails have become more prevalent, necessitating the development of more effective
and reliable anti-spam filters. Internet users face security threats, and youngsters are …

Effective and fast attribute reduction algorithm on high-dimensional dataset is one of the
most important issues of big data, and several parallel attribute reduction algorithms were …

Feature selection is a vital preprocessing step in real applications of data mining and
machine learning. With the prevalence of high-dimensional hybrid data sets in real-world …

Attribute reduction is a paradigm covering both theories and techniques of selecting
required attributes with constraints related to rough set. Currently, though various searching …

Essentially, the solution to an attribute reduction problem can be viewed as a reduct
searching process. Currently, among various searching strategies, meta-heuristic searching …

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 …

Attribute reduction is a difficult topic in rough set theory and knowledge granularity reduction
is one of the important types of reduction. However, up to now, its reduction algorithm based …