کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6856242 | 1437951 | 2018 | 22 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Evolutionary algorithm with ensemble strategies based on maximum a posteriori for continuous optimization
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Evolutionary algorithm with ensemble strategies based on maximum a posteriori for continuous optimization Evolutionary algorithm with ensemble strategies based on maximum a posteriori for continuous optimization](/preview/png/6856242.png)
چکیده انگلیسی
In this paper, a Maximum A Posteriori (MAP) principle based rule is proposed to palliate the operators' selection problem for solving different kinds of continuous optimization problems. This learning based approach allows switching between different strategies during the optimization. This algorithm is called Maximum a posteriori based Evolutionary Algorithm (MEA). Experimental analysis was performed and proved its efficiency and robustness on a large set of 34 problems.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volumes 460â461, September 2018, Pages 1-22
Journal: Information Sciences - Volumes 460â461, September 2018, Pages 1-22
نویسندگان
Asmaa Ghoumari, Amir Nakib, Patrick Siarry,