Citation:
Quan Luo, Jianliang Zhou, Huiqing Jing. Research on Intelligent Optimization of Regional Architectural Planning Schemes Based on BIM Generative Design. Journal of Information Technologyin Civil Engineering and Architecture,
2024, 16(1): 27-31.
doi: 10.16670/j.cnki.cn11-5823/tu.2024.01.05
2024, 16(1): 27-31. doi: 10.16670/j.cnki.cn11-5823/tu.2024.01.05
Research on Intelligent Optimization of Regional Architectural Planning Schemes Based on BIM Generative Design
School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221000, China |
Regional architectural planning is the design and regulation of the use of urban space, which is of great significance to the physical form, economic function and social impact of the urban environments and their internal activity locations. In order to solve the problems of designers' subjective dependence and low efficiency in regional architectural planning, this paper proposes an intelligent optimization method for architectural layout planning scheme design based on BIM technology and Dynamo generative design principles. On the basis of determining and quantifying various constraints of planning schemes, through multi-objective genetic algorithms, the paper realizes the parametric intelligent optimization of architectural layout planning schemes under multi-constraint conditions, greatly improving BIM design capability and work efficiency in the early planning stage. It provides a reference for the construction industry in China to further explore the application value of BIM.
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