A modern method for solving fixed points of various functions using Particle Swarm Optimization- Ant Lion Optimizer Algorithm
سال انتشار: 1401
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 235
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شناسه ملی سند علمی:
NERA07_079
تاریخ نمایه سازی: 19 اسفند 1401
چکیده مقاله:
In this paper, we introduce a new iterative method to finding the fixed point of a nonlinear function. Therefore, we merge ideas proposed in Particle Swarm Optimization Algorithm and Ant Lion 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 others methods, such as ALO, MVO, SSA .
کلیدواژه ها:
Meta-heuristic algorithms ، Fixed point problems ، Ant Lion Optimizer Algorithm ، Particle Swarm Optimization 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