Generative design uses algorithms — often combining optimization with machine learning — to produce a wide range of design alternatives that satisfy a defined set of constraints. In architecture, it is used for massing studies, floor plan layouts, and structural systems.
It compresses weeks of manual iteration into minutes and surfaces options a human might never sketch. For architects, that means more defensible design choices and faster client feedback loops.
Key points
- •Inputs are constraints (site, brief, code) and goals (daylight, cost, area).
- •Outputs are ranked alternatives, not a single answer.
- •Works best when paired with human judgement on the shortlist.
Examples
- ›Generating 50 floor plan layouts for a 2BHK that all satisfy Vastu and FAR rules.
- ›Optimising a steel truss for minimum weight under a fixed span.
Cadbull's Floor Plan Generator is a generative design tool — it produces multiple compliant plan options from a plot brief.
Try it nowFrequently asked questions
Is generative design the same as parametric design?
No. Parametric design exposes parameters you tweak by hand. Generative design searches the parameter space automatically against goals.
Do I still need an architect?
Yes. The system surfaces options; humans pick, refine, and take responsibility for the final design.