In this video, learn how optimization algorithms can work with parametric models and simulation to automatically discover unexpected and high-performing design solutions. This gives you access to a technology that can disrupt the design industry by automating many repetitive tasks.
- Like evolution in nature, … the genetic algorithm relies on creating … many generations of designs by following … just a small set of rules. … The process starts by creating an initial population … of designs by randomly varying the model's … input parameters. … It then creates the next generation of designs … by applying the following three operations: … during selection, two high-performing designs … are chosen from previous generation … to create a new design. … During crossover, the parameters of the two parent designs … are randomly re-configured to create a new design. … Finally, during mutation there's a small probability … that some of the parameters of the new design … are randomly changed. … And by following this basic process, … a genetic algorithm can adjust the parameters … of a generative model to automatically find … the best possible designs. … What makes this approach especially useful … is that it is not specific to any one model … or any one type of design problem. …
- What is generative design?
- Generative design examples
- Designing the design space
- Measuring performance
- Optimizing the design
- Evaluating the design space
- Tools for simulation, scripting, and more
Skill Level Intermediate
Grasshopper: Generative Design for Architecturewith Walter Zesk3h 15m Intermediate
Revit and Dynamo for Interior Designwith William Carney4h 57m Intermediate
What you should know1m 41s
1. Foundations of Generative Design
2. Generative Design in Industry
3. Anatomy of Generative Design
4. Tools for Generative Design
Next steps1m 41s
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