A new way to obtain fixed point functions using the grey wolf optimizer algorithm
سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 173
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شناسه ملی سند علمی:
JR_IJNAA-14-3_001
تاریخ نمایه سازی: 26 مرداد 1402
چکیده 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.
کلیدواژه ها:
Meta-heuristic algorithms ، Fixed point problems ، Grey Wolf Optimizer Algorithm ، Bisection algorithm
نویسندگان
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