This session will review best practices for using Generative Design to optimize the properties of many elements in a model. We will first review a direct assignment solution where each element is controlled by its own parameter. We will then develop a solution based on attractor points which abstract the relationship between the input parameters and the actual elements. We will then optimize both models in Discover and compare the effectiveness of both approaches.
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