کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
500162 | 863074 | 2006 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
System identification of simplified crash models using multi-objective optimization
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
A multi-objective optimization (MOO) based methodology is presented to identify simplified dynamic system simulation models. The proposed methodology is used to develop a three degree-of-freedom model for an automotive crash simulation. To date, such system identification problems have only been approached as single-objective problems. We use various MOO methods to provide new insight into the problem. Furthermore, we use this problem to study the nature of the Pareto optimal hypersurface, normalization of objectives, and specification of preferences. In general, we find that the MOO-based methodology is quite useful for dynamic system identification problems.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Methods in Applied Mechanics and Engineering - Volume 195, Issues 33–36, 1 July 2006, Pages 4383–4395
Journal: Computer Methods in Applied Mechanics and Engineering - Volume 195, Issues 33–36, 1 July 2006, Pages 4383–4395
نویسندگان
R. Timothy Marler, Chang-Hwan Kim, Jasbir S. Arora,