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Performance-Based Generative Design Process: An Investigation of the Parametric Nature of Architecture
Proceedings of the 100th ACSA Annual Conference: Digital Aptitudes (2012)
  • Tang Ming, University of Cincinnati - Main Campus
  • Jonathon Anderson, University of North Carolina at Greensboro
  • Ajla Aksamija, University of Massachusetts - Amherst
  • Mike Hodge
Abstract
New architectural morphologies are the result of emerging generative/parametric design tools which can be realized through advanced manufacturing technologies. Powerful parametric tools can be used to produce variations in design, while maintaining the dependencies and relations between iterations. Among various generative technologies, genetic evolution (GE) and performance driven form seeking are two methods used by architects to analyze and optimize design solutions using parameter entry early in the design process.
Keywords
  • digital design,
  • parametric modeling,
  • prototyping
Publication Date
2012
Citation Information
Tang Ming, Jonathon Anderson, Ajla Aksamija and Mike Hodge. "Performance-Based Generative Design Process: An Investigation of the Parametric Nature of Architecture" Proceedings of the 100th ACSA Annual Conference: Digital Aptitudes (2012)
Available at: http://works.bepress.com/ajla_aksamija/30/