Genetic programming for predicting aseismic abilities of school buildings

Created by W.Langdon from gp-bibliography.bib Revision:1.8098

@Article{Chen2012,

• author = "Hung-Ming Chen2 and Wei-Ko Kao and Hsing-Chih Tsai",
• title = "Genetic programming for predicting aseismic abilities of school buildings",
• journal = "Engineering Applications of Artificial Intelligence",
• volume = "25",
• number = "6",
• pages = "1103--1113",
• year = "2012",
• ISSN = "0952-1976",
• DOI = "doi:10.1016/j.engappai.2012.04.002",
• URL = "http://www.sciencedirect.com/science/article/pii/S0952197612000905",
• keywords = "genetic algorithms, genetic programming, Prediction, Aseismic ability, School building, Soft computing",
• abstract = "In general, the aseismic ability of buildings is analysed using nonlinear models. To obtain aseismic abilities of buildings, numerical models are constructed based on the structural configuration and material properties of buildings, and their stress responses and behaviours are simulated. This method is complex, time-consuming, and should only be conducted by professionals. In the past, soft computing techniques have been applied in the construction field to predict the particular stress responses and behaviors; however, only a few studies have been made to predict specific properties of entire buildings. In this study, a weighted genetic programming system is developed to construct the relation models between the aseismic capacity of school buildings, and their basic design parameters. This is based on information from the database of school buildings, as well as information regarding the aseismic capacity of school buildings analysed using complete nonlinear methods. This system can be further applied to predict the aseismic capacity of the school buildings.",

}

Genetic Programming entries for Hung-Ming Chen2 Wei-Ko Kao Hsing-Chih Tsai

Citations