# Generative Design

> Generative Design (ML&AI) is part of our BIM modeling services in the design and planning phase. Machine learning and AI algorithms generate design options and score them against measurable constraints and goals.

In the traditional process a designer develops only a few options, because each one takes time. Generative Design turns this around: you define rules, constraints and goals, and the algorithms generate a large number of solutions, ranked by the chosen criteria.

BIMON applies Generative Design inside the BIM environment, as an extension of modeling in the Design & Planning phase. The parameters come from the real project: areas, distances, regulations, functional requirements, quantities. Machine learning and AI tools explore the combinations and return the best options as comparable models.

The designer stays in charge. Generative Design does not decide for them: it cuts the time needed to explore the solution space and makes the comparison between options measurable, so the choice is discussed with the numbers on the table.

It is most useful in the early stages, when decisions cost little and have a large impact: space planning, arrangement of repetitive elements, massing studies, route optimization. It works best when the client's goals can be expressed as measurable criteria.

## Deliverables

- Generative Design (ML&AI)
- Comparable design options
- Option scoring criteria

## Process

1. **Goals and constraints** — With the client and the designers we turn requirements and regulations into measurable constraints and goals.
2. **Parametric model** — We build the parametric model in the BIM environment that describes the variables of the problem.
3. **Generation and scoring** — The algorithms generate the options and rank them against the agreed criteria.
4. **Selection and development** — The team selects an option and develops it in the project BIM model.

## FAQ

**What is Generative Design?**

It is a design method in which you define constraints and goals and algorithms generate and evaluate many possible solutions. At BIMON it uses machine learning and AI inside the BIM environment.

**Does Generative Design replace the designer?**

No. The designer sets the rules, interprets the results and chooses the solution. The algorithms speed up the exploration of options and make the comparison measurable.

**At which project stage should it be used?**

In the early design stages, when choices on layout, massing and arrangement of elements have a large effect on cost and performance. Later on it remains useful for well-defined, repetitive problems.