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Solving fuzzy number quadratic programming problems using variable neighborhood search algorithm

عنوان مقاله: Solving fuzzy number quadratic programming problems using variable neighborhood search algorithm
شناسه ملی مقاله: ICIORS11_003
منتشر شده در یازدهمین کنفرانس بین المللی انجمن ایرانی تحقیق در عملیات در سال 1397
مشخصات نویسندگان مقاله:

Khatere Ghorbani-Moghadam - Faculty of Mathematical Sciences, Sharif University of Technology, Tehran, Iran
Reza Ghanbari - Faculty of Mathematical Sciences, Department of Applied Mathematics, Ferdowsi University of Mashhad, Mashhad, Iran
Nezam Mahdavi-Amiri - Faculty of Mathematical Sciences, Sharif University of Technology, Tehran, Iran

خلاصه مقاله:
Recently, we proposed modified Kerre’s method as a more efficient approach than the original Kerre’s approach for comparison of LR fuzzy numbers. Using the modified Kerre’s method, we proposed a new variable neighborhood search algorithm for solving fuzzy number quadratic programming problems. In our algorithm, the local search is defined based on descent directions. We show the effectiveness of our proposed method in comparison with some available methods by using a non-parametric statistical sign test.

کلمات کلیدی:
Fuzzy quadratic programming problem, Modified Kerre s method, Ranking function

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/814560/