From the course: Grasshopper: Generative Design for Architecture
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Optimizing with Galapagos
From the course: Grasshopper: Generative Design for Architecture
Optimizing with Galapagos
- [Instructor] I have the exercise file open already. We're in the process of implementing the diagram for the plan that we've made for our generative design model. We've set up our site constraints, we built out our Sine wave logic, we've used the two to create a roof surface, we can see here. And then we calculated sides, views, represented by vectors, and we've generated a fitness score, based on the number of views that are exposed to these open areas between the buildings. Now, we're going to add in an evolutionary solver to use their fitness to improve or optimize the shape of the roof. So first thing we're going to do is connect our fitness in Galapagos to this fitness score, which is the ratio between the total number of view opportunities to the views that are actually looking out through these view corridors. Now we'll drag our solver over. We're going to connect in the inputs to represent the genotype, the things Galapagos can control. So I'll connect it in to three…
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Contents
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Design requirements and diagramming6m 44s
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(Locked)
Sine surface points9m 24s
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(Locked)
Roof surface7m 15s
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(Locked)
Sides views and fitness value9m 23s
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(Locked)
Optimizing with Galapagos6m 58s
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(Locked)
ML structural regions7m 59s
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(Locked)
Roof panel clusters8m 41s
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(Locked)
Roof panel physics and classification6m 40s
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(Locked)
Structure for optimization8m 54s
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(Locked)
Goals and Kangaroo solver10m 43s
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(Locked)
Visualization6m 49s
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(Locked)
Adjustment and refinement4m 20s
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