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solving nonlinear programming optimization problems using the grasshopper optimization algorithm
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نویسنده
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zekavatmand jazy sayyed masood ,vahidi javad ,ghaemi mohammad bagher
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منبع
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هفتمين كنفرانس ملي رويكردهاي نوين در آموزش و پژوهش - 1401 - دوره : 7 - هفتمین کنفرانس ملی رویکردهای نوین در آموزش و پژوهش - کد همایش: 01220-98023 - صفحه:0 -0
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چکیده
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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).
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کلیدواژه
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optimization،meta،heuristic algorithms،grasshopper optimization algorithm
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آدرس
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, iran, , iran, , iran
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پست الکترونیکی
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mghaemi@iust.ac.ir
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Authors
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