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 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.

Automated summary

From the solitudinarian era to the present, human beings have been striving to improve their lives by exploring the hidden secrets of nature. The Grey Wolf Optimization (GWO) algorithm, inspired by the socio-hierarchical behavior of grey wolves, is a state-of-the-art technique for solving complex real-world problems. This article presents a detailed description of GWO, its developments, and applications.