| Issue |
E3S Web Conf.
Volume 618, 2025
6th International Symposium on Architecture Research Frontiers and Ecological Environment (ARFEE 2024)
|
|
|---|---|---|
| Article Number | 01007 | |
| Number of page(s) | 7 | |
| Section | Green Transformation and Technological Innovation in Building and Urban Environment | |
| DOI | https://doi.org/10.1051/e3sconf/202561801007 | |
| Published online | 27 February 2025 | |
A Bibliometric Study on the Research Progress and Prospects of Artificial Intelligence in Architectural Space Layout Planning
School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, China
* Corresponding author: yy_hust123@163.com
The application of artificial intelligence in architectural space layout planning offers new possibilities for design innovation. Based on bibliometric analysis and systematic research, this study explores the technical characteristics and application scenarios of three major methods: optimization-based, generative, and interactive approaches. The findings reveal that generative methods demonstrate strong creativity in innovative design, optimization methods show significant advantages in performance enhancement, and interactive methods exhibit potential in human-computer collaborative design. Through keyword analysis, this study summarizes the current progress and limitations in the field and proposes the need to deepen the integration of algorithms with architectural knowledge, promote dynamic synergy between generation and optimization, and achieve intelligent integration across the entire process. As a driving force, artificial intelligence will unlock more possibilities for architectural space layout planning and advance architectural design toward greater efficiency and intelligence.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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