Dynamic Salp swarm algorithm for feature selection

• Published in: Expert systems with applications Vol. 164; p. 113873
• Main Authors: Tubishat, Mohammad, Ja'afar, Salinah, Alswaitti, Mohammed, Mirjalili, Seyedali, Idris, Norisma, Ismail, Maizatul Akmar, Omar, Mardian Shah
• Format: Journal Article
• Language: English
• Published: New York Elsevier Ltd 01.02.2021; Elsevier BV
• Subjects: Accuracy; Datasets; Feature selection; Genetic algorithms; K-nearest neighbors algorithm; Local search algorithm (LSA); Optimization algorithms; Particle swarm optimization; Salp swarm algorithm; Search algorithms; Singer chaotic map; Statistical analysis; Salp swarm algorithm; Feature selection; Singer chaotic map; Local search algorithm (LSA)
• ISSN: 0957-4174; 1873-6793
• DOI: 10.1016/j.eswa.2020.113873

•A dynamic Salp swarm algorithm is proposed for feature selection.•The development of novel update equation to improve solutions diversity.•The development of new Local search algorithm to improve algorithm exploitation.•The algorithm was tested on 23 datasets and it is outperformed other algorithms...