Binary atom search optimisation approaches for feature selection

• Published in: Connection science Vol. 32; no. 4; pp. 406 - 430
• Main Authors: Too, Jingwei, Rahim Abdullah, Abdul
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 01.10.2020; Taylor & Francis Ltd; Taylor & Francis Group
• Subjects: Algorithms; atom search optimisation; Benchmarks; binary atom search optimisation; binary optimisation; Classification; Evolutionary algorithms; Evolutionary computation; Feature selection; Heuristic methods; Machine learning; Particle swarm optimization; Searching; Transfer functions

Atom Search Optimisation (ASO) is a recently proposed metaheuristic algorithm that has proved to work effectively on several benchmark tests. In this paper, we propose the binary variants of atom search optimisation (BASO) for wrapper feature selection. In the proposed scheme, eight transfer functio...