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

نویسندگان
Zekavatmand, Sayyed Masood ID 1
Vahidi, Javad ID 2
Ghaemi, Mohammad Bagher ID 3

1 Department of Applied Mathematics, Iran University of Science and Technology, Tehran, Iran

2 Department of Applied Mathematics, Iran University of Science and Technology, Tehran, Iran

3 Department of Applied Mathematics, Iran University of Science and Technology, Tehran, Iran

doi
10.22075/ijnaa.2022.27491.3621
چکیده

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.

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