GWO: a review and applications

Ganga Negi, Anuj Kumar, Sangeeta Pant and Mangey Ram ()
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Ganga Negi: Graphic Era Deemed to be University
Anuj Kumar: University of Petroleum & Energy Studies
Sangeeta Pant: University of Petroleum & Energy Studies
Mangey Ram: Graphic Era Deemed to be University

International Journal of System Assurance Engineering and Management, 2021, vol. 12, issue 1, No 1, 8 pages

Abstract: Abstract 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.

Keywords: Metaheuristics; Grey Wolf Optimizer; Optimization; Hybrid algorithms (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s13198-020-00995-8

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