Artificial IntelligenceNo Access

Construction Cost Prediction Based on Genetic Algorithm and BIM

School of Telecommunications Engineering, Jiangsu Vocational Institute of Architectural Technology, Xuzhou 221000, P. R. China

School of Mechanics & Civil Engineering, China University of Mining and Technology, Xuzhou 221000, P. R. China

E-mail Address: godswish2006@126.com

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Wei Zhang

Institute of Building Intelligence, Jiangsu Vocational Institute of Architectural Technology, Xuzhou 221000, P. R. China

E-mail Address: 22605181@qq.com

Corresponding author.

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, and

Wenshun Wang

School of Mechanics & Civil Engineering, China University of Mining and Technology, Xuzhou 221000, P. R. China

E-mail Address: kdwangws@126.com

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https://doi.org/10.1142/S0218001420590260Cited by:19 (Source: Crossref)

Abstract

According to the analysis and prediction of engineering cost, a BIM-aided analysis method based on GA network model is proposed. First, we improve the neural network by genetic algorithm; second, according to the engineering feature vector, BIM software is used to train the GA network model; finally, the GA network model reaches a steady state, given prediction of Engineering cost. According to the experimental study of 20 high-rise residential buildings in YJW area, the experimental results show that the proposed GA model combined with BIM auxiliary analysis method can accurately and easily complete the project cost prediction.

Keywords:

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