An improved Dragonfly Algorithm for feature selection

Dragonfly Algorithm (DA) is a recent swarm-based optimization method that imitates the hunting and migration mechanisms of idealized dragonflies. Recently, a binary DA (BDA) has been proposed. During the algorithm iterative process, the BDA updates its five main coefficients using random values. Thi...

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Bibliographic Details
Published in:	Knowledge-based systems Vol. 203; p. 106131
Main Authors:	Hammouri, Abdelaziz I., Mafarja, Majdi, Al-Betar, Mohammed Azmi, Awadallah, Mohammed A., Abu-Doush, Iyad
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 05.09.2020 Elsevier Science Ltd
Subjects:	Accuracy Algorithms Binary Dragonfly Algorithm Classification Classification accuracy Datasets Feature selection Fitness Grammatical aspect Hunting Migration Optimization Selected features V-shaped transfer function Feature selection Selected features Classification accuracy Binary Dragonfly Algorithm V-shaped transfer function Optimization
ISSN:	0950-7051, 1872-7409
Online Access:	Get full text
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