کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1142748 957162 2011 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
MB-GNG: Addressing drawbacks in multi-objective optimization estimation of distribution algorithms
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات ریاضیات گسسته و ترکیبات
پیش نمایش صفحه اول مقاله
MB-GNG: Addressing drawbacks in multi-objective optimization estimation of distribution algorithms
چکیده انگلیسی
We examine the model-building issue related to multi-objective estimation of distribution algorithms (MOEDAs) and show that some of their, as yet overlooked, characteristics render most current MOEDAs unviable when addressing optimization problems with many objectives. We propose a novel model-building growing neural gas (MB-GNG) network that is specially devised for properly dealing with that issue and therefore yields a better performance. Experiments are conducted in order to show from an empirical point of view the advantages of the new algorithm.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Operations Research Letters - Volume 39, Issue 2, March 2011, Pages 150-154
نویسندگان
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