Explore goal components and their overall logic and varying effects on the solution.
- [Instructor] Much like other generative design tools, … the Kangaroo physics solver asks you, the designer, … to define goals for your model. … What do you want the model to do? … How should Kangaroo optimize the locations … of points and other geometry? … In this video, we will build a simple model … that shows how you specify goals … and will help us visualize how Kangaroo converts goals … into force vectors that recalculate point locations … in each iteration cycle. … I had the exercise file open already. … In this script, I've set up a few things to start us off. … On the input end, I have a scalene triangle … as our starting geometry. … I have a set of components that allows us … to step through the Kangaroo simulation … one iteration cycle at a time by clicking on the button. … On the output end, I'm taking the solved edges. … The output from Kangaroo. … I'm recording the values and then I'm previewing, … showing the force vectors at each timestamp. … This will allow us to see Kangaroo working. …
- What is generative design?
- Limitations of generative design
- Strengths and limitations of genetic/evolutional solvers
- How physics solvers work
- Testing and adjusting goals
- Working with machine learning tools
- Design requirements and diagramming
- Optimizing with Galapagos
Skill Level Intermediate
Grasshopper: Architectural Prototypingwith Walter Zesk2h 28m Intermediate
Learning Algorithmic Design with Grasshopperwith Chris Reilly3h 14m Intermediate
1. What Is Generative Design?
2. Genetic/Evolutional Solver Example
3. Physics Solver Example
4. Machine Learning Solver Example
5. Applying Generative Design
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