کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6903082 | 1446749 | 2018 | 50 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A generic fuzzy approach for multi-objective optimization under uncertainty
ترجمه فارسی عنوان
یک رویکرد فازی عمومی برای بهینه سازی چند منظوره تحت عدم اطمینان
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کلمات کلیدی
بهینه سازی چند هدفه، مجموعه های فازی اعداد فازی مثلثی، غلبه بر پارتو، الگوریتمهای تکاملی، مشکل مسیریابی خودرو
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
چکیده انگلیسی
Multi-objective optimization under uncertainty has gained considerable attention in recent years due to its practical applications in real-life. Many studies have been conducted on this topic, but almost all of them transformed the problem into a mono-objective one or just neglected the effects of uncertainty on the outcomes. This paper addresses specific uncertain multi-objective problems in which uncertainty is expressed by means of triangular fuzzy numbers. To handle these problems, we introduced a new approach able to solve them without any transformation by considering fuzziness propagation to the objective functions. The proposed approach is composed of two main contributions: First, a fuzzy Pareto dominance is defined for ranking the generated fuzzy solutions. Second, a generic fuzzy extension of well-known evolutionary algorithms is suggested as resolution methods. An experimental study on multi-objective Vehicle Routing Problems (VRP) with uncertain demands is finally carried to evaluate our approach.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Swarm and Evolutionary Computation - Volume 40, June 2018, Pages 166-183
Journal: Swarm and Evolutionary Computation - Volume 40, June 2018, Pages 166-183
نویسندگان
Oumayma Bahri, El-Ghazali Talbi, Nahla Ben Amor,