Forays into variants and applications of Grey Wolf Optimizer

  • Pravin S. Game , Dr. Vinod Vaze, Dr. Emmanuel M.

Abstract

Nature inspired techniques have found its niche in computational optimizations in recent times. Grey wolf optimizer (GWO) is one such metaheuristic method.   This swarm intelligence based GWO is one of the most researched algorithms which mimics the characteristics of grey wolf. In recent time this algorithm has been employed to solve many complex problems from the domains of engineering, medicine, optimization, and industrial applications. Due to its simplicity GWO has been used with other algorithms for improving various performances. So there is huge literature created in short span of time and there are two extensive reviews done earlier. To avoid redundancy all the works considered in these published reviews is excluded here. This review work critically studies 130 research works from reputed publishers published in recent times. This work also summarizes various GWO applications. It can be easily inferred from the study that GWO is quite robust, easy to implement method, giving better results in almost all the research works based on GWO

Published
2020-06-01
How to Cite
Pravin S. Game , Dr. Vinod Vaze, Dr. Emmanuel M. (2020). Forays into variants and applications of Grey Wolf Optimizer. International Journal of Advanced Science and Technology, 29(7), 9804-9841. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/26649
Section
Articles