A Survey On Grey Wolf Optimization Algorithms

Grey wolf optimizer (GWO) is arising from grey wolves. The grey wolf algorithmic rule imitate the hunting mechanism of grey wolf. This algorithmic rule is very successful in engineering field. GWO algorithmic rule is very popular in research and analyses in terms of anatomy and manipulation. In (GWO) algorithmic rule author saw that half of the iterations are dedicated to anatomy and half is dedicated to manipulation. There is a right balance b/w anatomy and manipulation which shows approximation of global optimum. To overcome this effect a new modified algorithm (MGWO) is introduced. MGWO focus on proper stability between anatomy and that shows manipulation optimal performance of the algorithmic rule .The Modified algorithmic rule is benefits from high anatomy as compared to original GWO. MGWO has an ability to solve real world optimization problem.