As cities grow denser and housing becomes more constrained, micro-apartments have emerged as both a solution and a challenge. This project introduces a generative layout system built in Grasshopper that reimagines micro-living not as a compromise, but as an opportunity for responsive design.
Our tool enables users—including architects, designers, and residents—to generate adaptive apartment layouts based on specific needs, constraints, and lifestyles. It offers two computational methods: full permutation with rule-based scoring and evolutionary optimization via Galapagos. Both approaches balance ergonomic logic, adjacency priorities, and user intent to produce high-performing spatial configurations.
Users input apartment geometry and select from predefined lifestyle presets (e.g., Work-from-Home, Storage-Focused), allowing the system to tailor layouts accordingly. Each layout is evaluated for daylight access, circulation efficiency, and functional adjacency, generating results that reflect human-centered living priorities.
Designed for integration into BIM workflows and potential web deployment, the tool serves not only as a speculative exercise but as a practical design framework. In doing so, it challenges static typologies and promotes a more intelligent, participatory approach to compact living—where design responds to behavior, not the other way around.