Solving nonlinear programming optimization problems using the grasshopper optimization algorithm

Publish Year: 1401
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:

NERA07_091

تاریخ نمایه سازی: 19 اسفند 1401

Abstract:

In recent years, with the widespread use of computers in various research fields, methods inspired by nature, based on the intelligent search for the optimal answer, have opened their way in optimization problems; The method based on the locust algorithm is one of these new optimization methods, which has recently been proven, like other methods inspired by nature, often converge to the most accurate answers. In this article, nonlinear optimization problems have been solved using the Grasshopper Optimization Algorithm (GOA).

Keywords:

Optimization , meta-heuristic algorithms , grasshopper optimization algorithm (GOA)

Authors

Sayyed Masood Zekavatmand

Ph.D. student of pure mathematics, majoring in mathematical analysis, Department of Applied Mathematics, Iran University of Science and Technology, Tehran, Iran

Javad vahidi

Associate Professor, Department of Applied Mathematics, Iran University of Science and Technology, Tehran, Iran

mohammad bagher ghaemi

Associate Professor, Department of Applied Mathematics, Iran University of Science and Technology, Tehran, Iran