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Titre: Dragonfly algorithm: a comprehensive review and applications
Auteur(s): Meraihi, Yassine
Ramdane-Cherif, Amar
Acheli, Dalila
Mahseur, Mohammed
Mots-clés: Dragonfly algorithm
Nature-inspired algorithm
Swarm intelligence
Meta-heuristics
Date de publication: 2020
Editeur: Springer
Collection/Numéro: Neural Computing and Applications; vol. 32;pp. 16625–16646
Résumé: Dragonfly algorithm (DA) is a novel swarm intelligence meta-heuristic optimization algorithm inspired by the dynamic andstatic swarming behaviors of artificial dragonflies in nature. It has proved its effectiveness and superiority compared toseveral well-known meta-heuristics available in the literature. This paper presents a comprehensive review of DA and itsnew variants classified into modified and hybrid versions. It also describes the main diverse applications of DA in severalfields and areas such as machine learning, neural network, image processing, robotics, and engineering. Finally, the papersuggests some possible interesting research on the applications and hybridizations of DA for future works
URI/URL: http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/6562
Collection(s) :Publications Internationales

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