元启发式
灰色文学
计算机科学
运筹学
人工智能
工程类
政治学
法学
梅德林
作者
Sharma Isha,Kumar Vijay,Sissara Sanjeewani
标识
DOI:10.2174/2666255813999201007165454
摘要
: Grey wolf optimizer is a recently developed metaheuristic algorithm that mimics the hunting and social behaviour. It has been applied in most of the engineering design problems. Grey wolf optimizer and its variants have been effectively used to solve the real-life applications. For some complex problems, grey wolf optimizer has been hybridized with other metaheuristics. This paper summarizes the overview of grey wolf optimizer and its variants. The pros and cons of these variants have been discussed. The application of grey wolf optimizer have also been discussed with future research directions. This paper will encourage the researchers to use this algorithm for their real-life problems.
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