Artificial Intelligence Exploration in Architectural Design-From Generative Design to Intelligent Decision-Making

ZHOU Ziqian; GAO Wen; HE Qiushi; LIN Borong; HAN Yuqiao

doi:10.13204/j.gyjzG21090801

Volume 52 Issue 7

Oct. 2022

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Article Navigation > INDUSTRIAL CONSTRUCTION > 2022 > 52(7): 159-172,47

Zhao Liya, Liu Baojian, Wang Shutao. EXPERIMENTAL STUDY ON ROAD ENGINEERING PROPERTY OF COMPACTION PHYLLITE MATERIAL ABANDONING[J]. INDUSTRIAL CONSTRUCTION, 2011, 41(12): 84-87,70. doi: 10.13204/j.gyjz201112019

Citation:

ZHOU Ziqian, GAO Wen, HE Qiushi, LIN Borong, HAN Yuqiao. Artificial Intelligence Exploration in Architectural Design-From Generative Design to Intelligent Decision-Making[J]. INDUSTRIAL CONSTRUCTION, 2022, 52(7): 159-172,47. doi: 10.13204/j.gyjzG21090801

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Artificial Intelligence Exploration in Architectural Design-From Generative Design to Intelligent Decision-Making

doi: 10.13204/j.gyjzG21090801

1. College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China;
2. School of Architecture, Tsinghua University, Beijing 100084, China;
3. Key Laboratory of Eco-Planning & Green Building, Ministry of Education, Beijing 100084, China

Received Date: 2021-09-08
Available Online: 2022-10-28

Abstract

Abstract

Architectural design is a complex process, which not only needs knowledge and experience of architects but also their imagination and creativity. Artificial intelligence (AI) technology can digitize the architectural theory and design experience, improve the efficiency of the design process, and also provide more ideas for design. To solve different problems in architectural design, a variety of AI technologies have been applied and many methods have been proposed. Relevant achievements in the past five years were summarized and sorted out from the perspective of design problems, AI technologies and solutions. And the research status and development trends were analyzed. The summarization revealed distribution features of relevant researches in recent years. In the design task, the most popular issues were the layout and shape, which reached 42% and 26% of the reports respectively, and in AI technology, the most extensive application was optimization algorithms and neural networks, which accounted for 41% and 22% of the reports respectively. However, the application of AI in the field of architectural design has not formed a unified theoretical system yet, facing a crucial challenge of generality and standardization.
- architectural design,
- artificial intelligence,
- generative design,
- optimization algorithm

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