Project Discover is a workflow for generative design for architecture. It involves the integration of a rule-based geometric system, a series of measurable goals, and a system for automatically generating, evaluating, and evolving a very large number of design options. The result is a tool to explore a wide design space, and get closer and closer to achieving all of the goals simultaneously.
By starting with high-level goals and constraints and then using the power of computation to optimize for multiple criteria, Project Discover produces high-performing and novel designs that would not have been possible to create without this approach.
Justin Berquist, Alex Tessier, Azam Khan, William O’Brien, Ramtin Attar (2017)An Investigation of Generative Design for Heating,Ventilation, and Air-Conditioning
Danil Nagy, Damon Lau , John Locke, James Stoddart, Lorenzo Villaggi, Ray Wang, Dale Zhao, David Benjamin (2017)Project Discover: An application of generative design for architectural space planning