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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Veröffentlicht in:	Chemometrics and intelligent laboratory systems Jg. 229; S. 104635
Hauptverfasser:	Mohd Yusof, Norfadzlia, Muda, Azah Kamilah, Pratama, Satrya Fajri, Carbo-Dorca, Ramon, Abraham, Ajith
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 15.10.2022
Schlagworte:	Binary whale optimization algorithm Descriptors selection Drug classification Logistic-tent chaotic map Time-varying transfer function Logistic-tent chaotic map Drug classification Descriptors selection Binary whale optimization algorithm Time-varying transfer function
ISSN:	0169-7439, 1873-3239
Online-Zugang:	Volltext
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