Asynchronous accelerating multi-leader salp chains for feature selection

• Published in: Applied soft computing Vol. 71; pp. 964 - 979
• Main Authors: Aljarah, Ibrahim, Mafarja, Majdi, Heidari, Ali Asghar, Faris, Hossam, Zhang, Yong, Mirjalili, Seyedali
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.10.2018
• Subjects: Classification; Machine learning; Optimization; Salp Swarm Algorithm; SSA; Swarm Intelligence; Wrapper feature selection; SSA; Wrapper feature selection; Salp Swarm Algorithm; Machine learning; Classification; Optimization; Swarm Intelligence

[Display omitted] •A novel feature selection approach based on binary Salp Swarm Algorithm (SSA) is proposed.•Asynchronous updating rules and leadership structure were used to adapt the salps’ positions.•The number of leaders in the social organization of the artificial salp chain is well studied.•T...