کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
511213 | 865824 | 2009 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Performance assessment of multicriteria damage identification genetic algorithms
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
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چکیده انگلیسی
Damage detection methods based on model updating method have usually been developed as single objective optimization problems. However, the lack of a clear objective function in the context of real-world damage detection problems advises simultaneous optimizations of several objectives with the purpose of improving the performance of the procedure. The application of genetic algorithms for solving multiobjective optimization constitutes an emergent research area nowadays. However, their application to damage identification problems is very limited and, practically, no comparative study has been presented up to now. In this paper, some multiobjective GAs based on aggregating functions and Pareto optimality are compared.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Structures - Volume 87, Issues 1–2, January 2009, Pages 120–127
Journal: Computers & Structures - Volume 87, Issues 1–2, January 2009, Pages 120–127
نویسندگان
Ricardo Perera, Antonio Ruiz, Carlos Manzano,