کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10322091 | 660819 | 2014 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Intuitionistic fuzzy optimization technique for solving multi-objective reliability optimization problems in interval environment
ترجمه فارسی عنوان
تکنیک بهینه سازی فازی متحرک برای حل مسائل بهینه سازی قابلیت اطمینان چند هدفه در محدوده زمانی
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
In designing phase of systems, design parameters such as component reliabilities and cost are normally under uncertainties. This paper presents a methodology for solving the multi-objective reliability optimization model in which parameters are considered as imprecise in terms of triangular interval data. The uncertain multi-objective optimization model is converted into deterministic multi-objective model including left, center and right interval functions. A conflicting nature between the objectives is resolved with the help of intuitionistic fuzzy programming technique by considering linear as well as the nonlinear degree of membership and non-membership functions. The resultants max-min problem has been solved with particle swarm optimization (PSO) and compared their results with genetic algorithm (GA). Finally, a numerical instance is presented to show the performance of the proposed approach.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 41, Issue 7, 1 June 2014, Pages 3157-3167
Journal: Expert Systems with Applications - Volume 41, Issue 7, 1 June 2014, Pages 3157-3167
نویسندگان
Harish Garg, Monica Rani, S.P. Sharma, Yashi Vishwakarma,