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Solving nonlinear programming optimization problems using the grasshopper optimization algorithm

عنوان مقاله: Solving nonlinear programming optimization problems using the grasshopper optimization algorithm
شناسه ملی مقاله: NERA07_091
منتشر شده در هفتمین کنفرانس ملی رویکردهای نوین در آموزش و پژوهش در سال 1401
مشخصات نویسندگان مقاله:

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

خلاصه مقاله:
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).

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

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1619384/