Automated architectural space layout planning using a physics-inspired generative design framework

• DOI: 10.48550/arxiv.2406.14840
• Publication Date: 2024-06-20
• Authors: Zhipeng Li; Sichao Li; Geoffrey Hinchcliffe; Noam Maitless; N. Birbilis
• Keywords: Generative Design

The determination of space layout is one the primary activities in schematic design stage an architectural project. initial planning defines shape, dimension, and circulation pattern internal spaces; which can also affect performance cost construction. When carried out manually, be complicated, repetitive time consuming. In this work, a generative framework for automatic generation spatial has been developed. proposed approach integrates novel physics-inspired parametric model evolutionary optimisation metaheuristic. Results revealed that such generate wide variety suggestions at stage, applicable to complex problems.