Generative Design

Generative Design applies multi-objective optimization techniques, from the Machine Learning domain, to design exploration. This approach will be the next design paradigm, integrating parametric modelling, multi-domain simulation, and meta-heuristic search.

<< Topics

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Goldstein, R., Breslav, S., Walmsley, K., Khan, A. (2020). SimAUD 2020 Conference proceedings: Symposium on Simulation for Architecture and Urban Design. pp. 8.


Physics-based Generative Design

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Attar, R., Aish, R., Stam, J., Brinsmead, D., Tessier, A., Glueck, M., Khan, A. (2009). Physics-based Generative Design. CAAD Futures 2009 Conference Proceedings: CAAD Futures Foundation. pp. 231-244.

Embedded Rationality: A Unified Simulation Framework for Interactive Form-Finding

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Attar, R., Aish, R., Stam, J., Brinsmead, D., Tessier, A., Glueck, M., Khan, A. (2010). Embedded Rationality: A Unified Simulation Framework for Interactive Form-Finding. International Journal of Architectural Computing. IJAC, 8(4). pp. 399-418.


An Investigation of Generative Design for Heating, Ventilation, and Air-Conditioning

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Berquist, J., Tessier, A., Khan, A., O’Brien, W., Attar, R. (2017). An Investigation of Generative Design for Heating, Ventilation, and Air-Conditioning. SimAUD 2017 Conference proceedings: Symposium on Simulation for Architecture and Urban Design. 8 pages.