.png){kind=icon}
返回
A Multiobjective Evolutionary Framework for Formulation of Nonlinear Structural Systems
.png){kind=icon}
PRE
AI
DOI：10.1109/TII.2021.3126702.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this article, an evolutionary framework is proposed for seismic response formulation of self-centering concentrically braced frame (SC-CBF) systems. A total of 75 different SC-CBF systems were designed, and their responses were recorded under 170 earthquake records. To select the most important earthquake intensity measures, an evolutionary feature selection strategy is introduced, which tries to find the highest correlation. For the formulation of the SC-CBF response, a hybrid multiobjective genetic programming and regression analysis is implemented, considering both model accuracy and model complexity as objectives. In the hybrid approach, regression tries to connect multiple genes. Non-dominated models are presented, and the best model is selected based on the practical approach proposed here. The best model is compared with four other genetic programming models. The results show that the evolutionary procedure is highly effective for designing the SC-CBF system using a simple and accurate model for such a complex system.
Keyword:
Mathematical models
Earthquakes
Complexity theory
Computational modeling
Informatics
Seismic measurements
Buildings
Evolutionary computation (EC)
feature selection
formulation
genetic programming (GP)
multiobjective
self-centering concentrically braced frame (SC-CBF)
期刊
IF:
9.9
论文数:
8.6K
被引数:
6.0W
机构
引用论文
分享收藏Valorisation Potential of Using Organic Side Streams as Feed for Tenebrio molitor, Acheta domesticus and Locusta migratoria.png)
Insects
OAAI
InsectsIF0
OAAI分享收藏
查看更多内容