A new way to obtain fixed point functions using the grey wolf optimizer algorithm

In this paper, we introduce a new iterative method for finding the fixed point of a nonlinear function. In fact, we want to offer a new way to obtain the fixed point of various functions using the Grey Wolf Optimizer algorithm. This method is new and very efficient for solving a nonlinear equation. We explain this method with three benchmark functions and compare results with other methods, such as ALO, MVO, MFO and SCA.

Keywords:

Meta-heuristic algorithms , Fixed point problems , Grey Wolf Optimizer Algorithm , Bisection algorithm