Grey wolf optimizer: a review of recent variants and applications

Grey wolf optimizer (GWO) is one of recent metaheuristics swarm intelligence methods. It has been widely tailored for a wide variety of optimization problems due to its impressive characteristics over other swarm intelligence methods: it has very few parameters, and no derivation information is requ...

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Vydáno v:	Neural computing & applications Ročník 30; číslo 2; s. 413 - 435
Hlavní autoři:	Faris, Hossam, Aljarah, Ibrahim, Al-Betar, Mohammed Azmi, Mirjalili, Seyedali
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Springer London 01.07.2018 Springer Nature B.V
Témata:	Artificial Intelligence Bioinformatics Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Global optimization Image processing Image Processing and Computer Vision Machine learning Probability and Statistics in Computer Science Review Swarm intelligence Metaheuristics Optimization GWO
ISSN:	0941-0643, 1433-3058
On-line přístup:	Získat plný text
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