| id |
cdrf2022_52 |
| authors |
Yixuan Zeng, Qiaoming Deng, and Yubo Liu |
| title |
Research on the Spatial Layout Design
of University Educational Buildings Based
on Rule Screening and Multi-agent System |
| doi |
https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_5
|
| source |
Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022) |
| summary |
Unlike traditional empiricism-based building design, the data-oriented quantitative analysis method is more rigorous and intuitive, taking into account a variety of factors such as site conditions, functional requirements and design specifications, and combining computer technology to propose a more rational and efficient design strategy. This study takes the design logic process and algorithm rule screening as the entry point to explore the design method of using multi-agent body algorithm planning to realize the spatial layout of university education buildings. Based on multi-agent algorithms, spatially rich and morphologically complex architectural solutions can be quickly generated, and new designs with generality and universality can be produced by changing the initial shape and syntax rules. The authors attempt to design a program based on a multi-agent body system, where architects only need to set initial parameters to quickly construct a variety of initial volume solutions, offering a wide range of possibilities for initial design. |
| email |
|
| full text |
 file.pdf (601,899 bytes) |
| references |
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| last changed |
2024/05/29 14:02 |
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