GWO: a review and applications

From the solitudinarian era to the present, the human race has been striving towards the betterment of his life by trying to find out the hidden secrets of our nature. Some time back one would hardly think that colonies of ant, pack of grey wolves, and elephants would be used to design an optimizati...

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Bibliographic Details
Published inInternational journal of system assurance engineering and management Vol. 12; no. 1; pp. 1 - 8
Main Authors Negi, Ganga, Kumar, Anuj, Pant, Sangeeta, Ram, Mangey
Format Journal Article
LanguageEnglish
Published New Delhi Springer India 01.02.2021
Springer Nature B.V
Subjects
Algorithms
Design optimization
Elephants
Engineering
Engineering Economics
Logistics
Marketing
Optimization techniques
Organization
Quality Control
Reliability
Review Papers
Safety and Risk
State-of-the-art reviews
Hybrid algorithms
Metaheuristics
Grey Wolf Optimizer
Optimization
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Summary:From the solitudinarian era to the present, the human race has been striving towards the betterment of his life by trying to find out the hidden secrets of our nature. Some time back one would hardly think that colonies of ant, pack of grey wolves, and elephants would be used to design an optimization algorithm. One of the optimization techniques called Grey Wolf Optimization (GWO) algorithm is motivated by the socio-hierarchical behaviour of the animal named Canis Lupus (Grey Wolf). In this paper, the detailed description of GWO is presented along with different development in standard GWO and its applications. Precisely, this article presents a state of the art review of the GWO algorithm, its progress, and applications in more complex real-world problem-solving.
ISSN:0975-6809
0976-4348
DOI:10.1007/s13198-020-00995-8