Now that you are familiar with how to generate and integrate studies, learn about refining variables based on the outcomes from previous studies. Often, variables that drive the GD study need to be refined in order to allow the algorithms to explore a large landscape of potential solutions.
- We now have a number of solutions … that might suit our design problem. … However, you might come across occasions … where the solutions are close, … but not quite what you're after. … So in this lesson, … let's refine one of the solutions … by creating another study, … and then incorporating it into our project. … In the last lesson, we generated five different results, … which were quite varied. … Let's say we liked the result that had 12 desks, … but we weren't too happy with the Views to Outside Score. … This value is determined by the average distance … of a seat to the window, … and whether the seat is facing the window … within a view cone. … The best seat has a value of one, … and the desks with no view, get scores of zero. … All other seats that have a view to the outside, … fall within this range. … So we can see that there're a few seats … with pretty poor results. … By looking at the variables … that we use to generate this result, … which are a desk rotation of negative 45, …
- What is generative design?
- Loading and running a generative design study in Revit
- Reviewing outcomes
- Refining variables
- Generating studies in Dynamo
- Specifying inputs and outputs
- Exporting studies
- Importing Dynamo-generated studies into Revit