کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4959858 1445956 2017 29 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Weighted sum model with partial preference information: Application to multi-objective optimization
ترجمه فارسی عنوان
مدل مجموع وزن با اطلاعات ترجیحی جزئی: کاربردی برای بهینه سازی چند هدف
کلمات کلیدی
برنامه نویسی چندگانه، مجموع وزن، اطلاعات ترجیحی جزئی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
چکیده انگلیسی
Multi-objective optimization problems often lead to large nondominated sets, as the size of the problem or the number of objectives increases. Generating the whole nondominated set requires significant computation time, while most of the corresponding solutions are irrelevant to the decision maker (DM). Optimizing an aggregation function reduces the computation time and produces one or a very limited number of more focused solutions. This requires, however, the elicitation of precise preference parameters, which is often difficult and partly arbitrary, and might discard solutions of interest. An intermediate approach consists in using partial preference information with an aggregation function. In this work, we present a preference relation based on the weighted sum aggregation, where weights are not precisely defined. We give some properties of this preference relation and define the set of preferred points as the set of nondominated points with respect to this relation. We provide an efficient and generic way of generating this preferred set using any standard multi-objective optimization algorithm. This approach shows competitive performances both on computation time and quality of the generated preferred set.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Journal of Operational Research - Volume 260, Issue 2, 16 July 2017, Pages 665-679
نویسندگان
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