AI-Enabled Strategies for Generating and Optimizing Architectural Design Schemes

Abstract

With the advancement of science and technology, the application of artificial intelligence (AI) in the construction industry has attracted widespread attention. This paper mainly discusses the AI-driven generation and optimization methods of architectural schemes. By analyzing its operating principles, implementation strategies, advantages and existing challenges, this study clarifies the core mechanism of AI applied in architectural scheme design. Relying on powerful data processing capabilities, AI is capable of rapidly generating diverse design alternatives and optimizing them in terms of functionality, spatial layout, aesthetics and environmental performance, which presents prominent strengths in design efficiency, innovation, accuracy and systematic integration. Nevertheless, the adoption of AI in architectural design still confronts numerous obstacles, such as insufficient data quality, inherent model limitations, ethical and legal dilemmas, as well as low industrial acceptance. This research intends to provide references for the intelligent transformation of the architectural design industry, facilitate the rational application of AI technologies in this field, address practical design difficulties, and further drive industrial innovation and development.