Automated Parametric Generation of Residential Floor Plans Using Grasshopper and Python

Abstract

This paper presents an automated parametric design algorithm for generating residential floor plans in Northern China. The algorithm, developed using Grasshopper and Python, enables the rapid generation of standardized residential schemes based on predefined design rules and performance criteria. By extracting design features from a database of residential prototypes, the algorithm automates the design process, reducing manual effort and enhancing design efficiency. The paper details the algorithm's workflow, including parameter extraction, rule-based generation, and performance evaluation, and demonstrates its application through a case study of residential design optimization.