دوره 13، شماره 3 - ( 5-1402 )
جلد 13 شماره 3 صفحات 390-379 |
برگشت به فهرست نسخه ها
چکیده: (4426 مشاهده)
In this article, spectral matching of ground motions is presented via the Mouth Brooding Fish (MBF) algorithm that is recently developed. It is based on mouth brooding fish life cycle. This algorithm utilizes the movements of the mouth brooding fish and their children’s struggle for survival as a pattern to find the best possible answer. For this purpose, wavelet transform is used to decompose the original ground motions to several levels and then each level is multiplied by a variable. Subsequently, this algorithm is employed to determine the variables and wavelet transform modifies the recorded accelerograms until the response spectrum gets close to a specified design spectrum. The performance of this algorithm is investigated through a numerical example and also it is compared with CBO and ECBO algorithms. The numerical results indicate that the MBF algorithm can to construct very promising results and has merits in solving challenging optimization problems.
نوع مطالعه: پژوهشي |
موضوع مقاله:
Applications
دریافت: 1402/2/10 | پذیرش: 1402/4/28 | انتشار: 1402/4/28
دریافت: 1402/2/10 | پذیرش: 1402/4/28 | انتشار: 1402/4/28
| بازنشر اطلاعات | |
 | این مقاله تحت شرایط Creative Commons Attribution-NonCommercial 4.0 International License قابل بازنشر است. |