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

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

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...

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Bibliographic Details
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
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Institution: Universiti Teknikal Malaysia Melaka
Language: English

Internet

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

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