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