• Shahnawaz Ali
• Ankush Sharma
• Swati Jadon

the following survey describes the basics of greywolf-optimization and significant modifications done in the past few years. We divided the review of previous work into three parts; in the first part, we explained the work in which new parameters are defined. In the second part, we explained the work in which new concepts are proposed and control parameters are estimated. In the third part, we explained the work in which GWO is combined with other nature-inspired algorithms.

grey-wolf-optimizer, optimization, Nature-inspirealgorithm.

"A Survey on Grey Wolf Optimizer ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 11, page no.789-792, November-2020, Available :http://www.jetir.org/papers/JETIR2011387.pdf

"A Survey on Grey Wolf Optimizer ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 11, page no. pp789-792, November-2020, Available at : http://www.jetir.org/papers/JETIR2011387.pdf