Dragonfly Algorithm and Its Hybrids: A Survey on Performance, Objectives and Applications

Swarm intelligence is a discipline which makes use of a number of agents for solving optimization problems by producing low cost, fast and robust solutions. The dragonfly algorithm (DA), a recently proposed swarm intelligence algorithm, is inspired by the dynamic and static swarming behaviors of dra...

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Autores principales:	Bibi Aamirah Shafaa Emambocus, Muhammed Basheer Jasser, Aida Mustapha, Angela Amphawan
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	dragonfly algorithm swarm intelligence optimization Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/ac265c53f47a4330ba8f69aa4270e53d
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id	oai:doaj.org-article:ac265c53f47a4330ba8f69aa4270e53d
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spelling	oai:doaj.org-article:ac265c53f47a4330ba8f69aa4270e53d2021-11-25T18:57:20ZDragonfly Algorithm and Its Hybrids: A Survey on Performance, Objectives and Applications10.3390/s212275421424-8220https://doaj.org/article/ac265c53f47a4330ba8f69aa4270e53d2021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7542https://doaj.org/toc/1424-8220Swarm intelligence is a discipline which makes use of a number of agents for solving optimization problems by producing low cost, fast and robust solutions. The dragonfly algorithm (DA), a recently proposed swarm intelligence algorithm, is inspired by the dynamic and static swarming behaviors of dragonflies, and it has been found to have a higher performance in comparison to other swarm intelligence and evolutionary algorithms in numerous applications. There are only a few surveys about the dragonfly algorithm, and we have found that they are limited in certain aspects. Hence, in this paper, we present a more comprehensive survey about DA, its applications in various domains, and its performance as compared to other swarm intelligence algorithms. We also analyze the hybrids of DA, the methods they employ to enhance the original DA, their performance as compared to the original DA, and their limitations. Moreover, we categorize the hybrids of DA according to the type of problem that they have been applied to, their objectives, and the methods that they utilize.Bibi Aamirah Shafaa EmambocusMuhammed Basheer JasserAida MustaphaAngela AmphawanMDPI AGarticledragonfly algorithmswarm intelligenceoptimizationChemical technologyTP1-1185ENSensors, Vol 21, Iss 7542, p 7542 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	dragonfly algorithm swarm intelligence optimization Chemical technology TP1-1185
spellingShingle	dragonfly algorithm swarm intelligence optimization Chemical technology TP1-1185 Bibi Aamirah Shafaa Emambocus Muhammed Basheer Jasser Aida Mustapha Angela Amphawan Dragonfly Algorithm and Its Hybrids: A Survey on Performance, Objectives and Applications
description	Swarm intelligence is a discipline which makes use of a number of agents for solving optimization problems by producing low cost, fast and robust solutions. The dragonfly algorithm (DA), a recently proposed swarm intelligence algorithm, is inspired by the dynamic and static swarming behaviors of dragonflies, and it has been found to have a higher performance in comparison to other swarm intelligence and evolutionary algorithms in numerous applications. There are only a few surveys about the dragonfly algorithm, and we have found that they are limited in certain aspects. Hence, in this paper, we present a more comprehensive survey about DA, its applications in various domains, and its performance as compared to other swarm intelligence algorithms. We also analyze the hybrids of DA, the methods they employ to enhance the original DA, their performance as compared to the original DA, and their limitations. Moreover, we categorize the hybrids of DA according to the type of problem that they have been applied to, their objectives, and the methods that they utilize.
format	article
author	Bibi Aamirah Shafaa Emambocus Muhammed Basheer Jasser Aida Mustapha Angela Amphawan
author_facet	Bibi Aamirah Shafaa Emambocus Muhammed Basheer Jasser Aida Mustapha Angela Amphawan
author_sort	Bibi Aamirah Shafaa Emambocus
title	Dragonfly Algorithm and Its Hybrids: A Survey on Performance, Objectives and Applications
title_short	Dragonfly Algorithm and Its Hybrids: A Survey on Performance, Objectives and Applications
title_full	Dragonfly Algorithm and Its Hybrids: A Survey on Performance, Objectives and Applications
title_fullStr	Dragonfly Algorithm and Its Hybrids: A Survey on Performance, Objectives and Applications
title_full_unstemmed	Dragonfly Algorithm and Its Hybrids: A Survey on Performance, Objectives and Applications
title_sort	dragonfly algorithm and its hybrids: a survey on performance, objectives and applications
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/ac265c53f47a4330ba8f69aa4270e53d
work_keys_str_mv	AT bibiaamirahshafaaemambocus dragonflyalgorithmanditshybridsasurveyonperformanceobjectivesandapplications AT muhammedbasheerjasser dragonflyalgorithmanditshybridsasurveyonperformanceobjectivesandapplications AT aidamustapha dragonflyalgorithmanditshybridsasurveyonperformanceobjectivesandapplications AT angelaamphawan dragonflyalgorithmanditshybridsasurveyonperformanceobjectivesandapplications
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Dragonfly Algorithm and Its Hybrids: A Survey on Performance, Objectives and Applications

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