Arithmetic optimization algorithm (AOA) is a newly well-developed meta-heuristic algorithm
that is inspired by the distribution behavior of main arithmetic operators in mathematics …

Computer science development, especially machine learning, is a thriving innovation
essential for education. It makes the process of teaching and learning more accessible and …

Feature selection (FS) is a popular data pre-processing technique in machine learning to
extract the optimal features to maintain or increase the classification accuracy of the dataset …

Abstract The Sine Cosine Algorithm (SCA) is an outstanding optimizer that is appreciably
used to dissolve complicated real-world problems. Nevertheless, this algorithm lacks …

The intelligent recognition of electroencephalogram (EEG) signals is a valuable tool for
epileptic seizure classification. Given that visual inspection of EEG signals is time …

In recent years, the quest for optimizing metaheuristic algorithms has led to a surge in
research efforts aimed at enhancing their performance. While existing reviews have …

In this paper, we proposed a tunicate swarm algorithm based on Tent-Lévy flight (TLTSA) to
avoid converging prematurely or failing to escape from a local optimal solution. First, we …

The rapid growth of electronic documents has resulted from the expansion and development
of internet technologies. Text-documents classification is a key task in natural language …

Chaotic maps have found applications in a wide range of fields. However, many existing one-
dimensional (1-D) chaotic maps suffer from limitations. Their smaller chaotic regions restrict …

Depression, as a common yet severe mood disorder, can cause irreversible damage to the
brain if not detected and treated in a timely manner. Unfortunately, due to the current …