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

عنوان مقاله: A new way to obtain fixed point functions using the grey wolf optimizer algorithm
شناسه ملی مقاله: JR_IJNAA-14-3_001
منتشر شده در در سال 1402
مشخصات نویسندگان مقاله:

Sayyed Masood Zekavatmand - Department of Applied Mathematics, Iran University of Science and Technology, Tehran, Iran
Javad Vahidi - Department of Applied Mathematics, Iran University of Science and Technology, Tehran, Iran
Mohammad Bagher Ghaemi - Department of Applied Mathematics, Iran University of Science and Technology, Tehran, Iran

خلاصه مقاله:
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.

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

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1727092/