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

	A new way to obtain fixed point functions using the grey wolf optimizer algorithm
International Journal of Nonlinear Analysis and Applications
مقاله 1، دوره 14، شماره 3، خرداد 2023، صفحه 1-7 اصل مقاله (420.91 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22075/ijnaa.2022.27491.3621
نویسندگان
Sayyed Masood Zekavatmand؛ Javad Vahidi^* ؛ Mohammad Bagher Ghaemi
Department of Applied Mathematics, Iran University of Science and Technology, Tehran, Iran
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
مراجع

آمار تعداد مشاهده مقاله: 17,231 تعداد دریافت فایل اصل مقاله: 10,773

پیوندهای مفید

آمار