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
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:
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
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/