Volume 13, Issue 3 (7-2023)                   2023, 13(3): 379-390 | Back to browse issues page

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Sedaghat Shayegan D, Amirkardoust A. SCALING EARTHQUAKE GROUND MOTIONS USING MOUTH BROODING FISH ALGORITHM. International Journal of Optimization in Civil Engineering 2023; 13 (3) :379-390
URL: http://ijoce.iust.ac.ir/article-1-562-en.html
Abstract:   (4114 Views)
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.
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Type of Study: Research | Subject: Applications
Received: 2023/04/30 | Accepted: 2023/07/19 | Published: 2023/07/19

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