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Dergiler / Gazi University Journal of Science / 2022 / Cilt: 35 - Sayı: 2

Application of Grey Wolf Optimization Algorithm: Recent Trends, Issues, and Possible Horizons

Emmanuel Gbenga DADA
Stephen Bassi JOSEPH
David Opeoluwa OYEWOLA
Alaba Ayotunde FADELE
Haruna CHIROMA
Shafi'i Muhammad ABDULHAMID
Sayfa
485–504
Yayın Tarihi
2022-11-08
DOI
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Yapay Zeka Hızlı Bakış & Çıkarımlar

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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

It is expected that this paper will serve as reading material for beginners whereas experienced researchers can also use it as an article yardstick for further development of GWO algorithms.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:The development of Grey Wolf Optimisation (GWO) Algorithm was motivated by the biological behaviours of swarm of wolves hunting for prey.
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Temel Bulgular & Veri:Suggestions for new research directions that have the capacity to increase the performance of GWO are presented.
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Sonuç & Katkı:It is expected that this paper will serve as reading material for beginners whereas experienced researchers can also use it as an article yardstick for further development of GWO algorithms.
🔬Tür:Literatür & Derleme Çalışması
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Grey wolf optimisation · Single objective gwo · Multi-objective gwo

Abstract

The development of Grey Wolf Optimisation (GWO) Algorithm was motivated by the biological behaviours of swarm of wolves hunting for prey. This paper presents recent progress on Grey Wolf Optimization (GWO) algorithm, its variants and their applications, issues, and likely prospects. The review revealed that opportunities still exists for development of more robust and stable variants of GWO that will overcome the shortcomings of existing variants. This review has the potential to stimulate researchers in the area of nature-inspired algorithms to further advance the effectiveness of the GWO and its ability to solve problems. Such problems can be real-life, complicated and nonlinear optimization problems in different domain of human endeavour. Suggestions for new research directions that have the capacity to increase the performance of GWO are presented. It is expected that this paper will serve as reading material for beginners whereas experienced researchers can also use it as an article yardstick for further development of GWO algorithms.

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Bu Makaleye Atıf Yap

DADA, E. G., JOSEPH, S. B., OYEWOLA, D. O., FADELE, A. A., CHIROMA, H., ABDULHAMID, S. M. (2022). Application of Grey Wolf Optimization Algorithm: Recent Trends, Issues, and Possible Horizons. Gazi University Journal of Science, Cilt: 35 - Sayı: 2, 485–504. https://ajindex.com/articles/649102

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Kaynakça (14)

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