Assignment strategies

  • by Danil
  • Course level: Intermediate


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.

Topics for this course

3 Lessons01h 34m 26s


Demo: Direct assignment00:18:15
Demo: Attractor points00:49:32

About the instructors

Danil Nagy is a designer, developer, and entrepreneur focusing on applications of computational design and automation for the building industries. His expertise includes computational geometry, digital fabrication, simulation, optimization, machine learning, and data visualization. Danil teaches at the Graduate School of Architecture, Planning and Preservation (GSAPP) at Columbia University in New York, where his courses focus on architectural visualization, generative design, and applications of artificial intelligence. Danil was formerly a Principal Research Scientist at Autodesk Research. He is the founder of Colidescope, a consultancy focused on bringing digital transformation tools to the Architecture, Engineering, and Construction (AEC) industries.
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16 Courses

132 students

Material Includes

  • Over an hour of on-demand video
  • Downloadable demo files to follow along with video tutorials