# A Review of Artificial Intelligence in Enhancing Architectural Design Efficiency
## 3 Overview of AI Technology
### Application of AI in Architectural Design  
#### 3.2.1 Design Automation Generation and Optimization  
GAI is reshaping architectural design by streamlining processes across various stages. In the conception stage, AI uses genetic algorithms and other technologies to automate site layouts and building plans, which greatly improves the design efficiency. In terms of rendering, advancements in AI improve image and video quality, fostering creative inspiration. In terms of model generation, AI can generate three-dimensional structures by means of parameterization [18]. For instance, platforms like \"Construction Drawing Tong\" and Professional Knowledge-based Preprocessing & Modelling System (PKPM)-AI Checker automate detailed construction drawings and structural compliance reviews. In addition,  
Figure 3: Classification of the literature by year. AI also facilitates human-computer interaction, parametric design, building performance simulation, and other links [19]. In urban planning, generative design can integrate a variety of key elements, and AI can produce numerous solutions quickly, meeting planning objectives and constraints, greatly improving efficiency and innovation potential. In addition, the simulation capabilities of AI [20; 21; 22] also help design teams to explore and evaluate different solutions from multiple perspectives. In architectural scheme design, the integration of generative design and large language models provides architects with new design tools. Transformer-based language models capture key information in the design description text, enabling natural language input. AI products such as Midjourney and Stable Diffusion can generate high-quality visual images based on text [23], accelerating the realization of creative concepts [24]. In the construction drawing design phase, the application of AI algorithms is revolutionizing design output, inspection, and optimization work. In the process of building models and drawing construction drawings, intelligent algorithms can extract design information, construction methods, and material usage data from building models and summarize them into a multidimensional database [25]. This not only ensures the floorability of the design, but also improves design quality, ensures feasibility, accurately conveys design intent, and reduces construction change risks. In the following phase, AI also streamlines construction drawing reviews by identifying and following building codes and guidelines. The intelligent system can quickly identify design problems and track design results in real time, such as material specification deviations, labeling errors, and insufficient red line distance. The introduction of natural language processing (NLP) technology enables precise interpretation of complex guidelines, shortening review cycles, reducing manual effort, and improving design safety and compliance [26; 27; 28]. In addition, AI algorithms have further improved parametric design by allowing users to adjust parameters for greater flexibility and diversity while ensuring design consistency and accuracy. In the creative process of architecture, AI plays a crucial role in improving human-computer interaction (HCI) [29]. With advanced natural language understanding and image recognition, AI algorithms enable design tools to interpret designers' intentions and offer quick recommendations. For example, designers can use voice commands to interact with software to articulate design ideas, while AI can quickly generate a first draft of a design. At the same time, these interactive systems can learn the user's behavior and preferences, and the user interface presents personalized characteristics, ensuring that the user is more direct and efficient. In the field of parametric design, AI technologies like genetic algorithms (GAs) and ANNs efficiently handle complex rules and parameters, creating both novel and practical design results.