Improving amphetamine-type stimulants drug classification using chaotic-based time-varying binary whale optimization algorithm

• Main Authors: Draman @ Muda, Azah Kamilah, Mohd Yusof, Norfadzlia, Pratama, Satrya Fajri, Carbo-Dorca, Ramon, Abraham, Ajith
• Format: Article
• Language: English
• Published: Elsevier B.V. 2022
• Online Access: http://eprints.utem.edu.my/id/eprint/26392/2/2022_CILS_ONLINE-VERSION_NORFADZLIA_PAPER2.PDF; http://eprints.utem.edu.my/id/eprint/26392/; https://www.sciencedirect.com/science/article/pii/S0169743922001460
• Institution: Universiti Teknikal Malaysia Melaka

A new chaotic time-varying binary whale optimization algorithm (CBWOATV) is introduced in this paper to optimize the feature selection process in Amphetamine-type Stimulants (ATS) and non-ATS drugs classification. Two enhancement methods were introduced in this study to provide a fit balance between...