Algorithmic Generation of Apartment Floorplans

Exploring Algorithmic Design for Residential Apartment Buildings

I have recently developed a first prototype of an algorithmic floorplan generator aimed at automating the layout of residential apartment buildings. Starting from a given unit mix, for example, the number of studios, one-bedroom, two-bedroom, and three-bedroom units, the system allocates apartment divisions across a building footprint.

Once the high-level partitioning is complete, the generator procedurally creates internal layouts for each unit type. It manages spatial constraints, adjacency logic, and circulation requirements.

This early stage focuses primarily on geometry generation and rule-based partitioning. It builds a framework that can later be expanded to incorporate more complex spatial intelligence, programmatic flexibility, and optimization strategies.

Algorithmic design has the potential to rethink how we approach residential planning. It offers a more dynamic, data-driven alternative to conventional manual layout processes.

This project represents an ongoing exploration of how computational tools can enhance the precision, efficiency, and adaptability of architectural workflows.