Performative Computation-aided Design Optimization

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Ming Tang
Jonathon Anderson
Ajla Aksamija
Michael Hodge


This article discusses a collaborative research and teaching project between the University of Cincinnati, Perkins+Will’s Tech Lab, and the University of North Carolina Greensboro. The primary investigation focuses on the simulation, optimization, and generation of architectural designs using performance-based computational design approaches. The projects examine various design methods, including relationships between building form, performance and the use of proprietary software tools for parametric design.

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How to Cite
Tang, M., J. Anderson, A. Aksamija, and M. Hodge. “Performative Computation-Aided Design Optimization”. Enquiry The ARCC Journal for Architectural Research, Vol. 9, no. 1, Dec. 2012, doi:10.17831/enq:arcc.v9i1.68.
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