Lorenzo Villaggi, James Stoddart, Danil Nagy, David Benjamin
Lorenzo Villaggi, James Stoddart, Danil Nagy, David Benjamin
Design Modeling Symposium
2017
This paper describes a novel humanist approach to generative design through the measurement and simulation of user satisfaction in an office environment. This technique involves surveying hundreds of employees for their adjacency preference and work style preference, and then calculating how well different floor plan layouts match these preferences. This approach offers an example of how design goals which are typically considered to be “qualitative”— and beyond measurement—might become part of a “quantitative” generative design workflow for architectural design and space planning. The methodology is demonstrated through an application in the design of a 49,000 square foot office space for 270 people.
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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.