GWO: a review and applications

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 o...

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Main Authors: Ganga Negi, Anuj Kumar, Sangeeta Pant, Mangey Ram
Format: Article in Journal/Newspaper
Language:unknown
Subjects:
Canis lupus
Online Access:http://link.springer.com/10.1007/s13198-020-00995-8
id ftrepec:oai:RePEc:spr:ijsaem:v::y::i::d:10.1007_s13198-020-00995-8
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spelling ftrepec:oai:RePEc:spr:ijsaem:v::y::i::d:10.1007_s13198-020-00995-8 2023-05-15T15:50:02+02:00 GWO: a review and applications Ganga Negi Anuj Kumar Sangeeta Pant Mangey Ram http://link.springer.com/10.1007/s13198-020-00995-8 unknown http://link.springer.com/10.1007/s13198-020-00995-8 article ftrepec 2020-12-04T13:41:13Z 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. Metaheuristics, Grey Wolf Optimizer, Optimization, Hybrid algorithms Article in Journal/Newspaper Canis lupus RePEc (Research Papers in Economics)
institution Open Polar
collection RePEc (Research Papers in Economics)
op_collection_id ftrepec
language unknown
description 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. Metaheuristics, Grey Wolf Optimizer, Optimization, Hybrid algorithms
format Article in Journal/Newspaper
author Ganga Negi
Anuj Kumar
Sangeeta Pant
Mangey Ram
spellingShingle Ganga Negi
Anuj Kumar
Sangeeta Pant
Mangey Ram
GWO: a review and applications
author_facet Ganga Negi
Anuj Kumar
Sangeeta Pant
Mangey Ram
author_sort Ganga Negi
title GWO: a review and applications
title_short GWO: a review and applications
title_full GWO: a review and applications
title_fullStr GWO: a review and applications
title_full_unstemmed GWO: a review and applications
title_sort gwo: a review and applications
url http://link.springer.com/10.1007/s13198-020-00995-8
genre Canis lupus
genre_facet Canis lupus
op_relation http://link.springer.com/10.1007/s13198-020-00995-8
_version_ 1766385041033658368

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