A Knowledge-oriented Approach to Performance-driven design Using Probabilistic Graphical Models
Autor(en): |
Zack Xuereb Conti
Sawako Kaijima |
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Medium: | Tagungsbeitrag |
Sprache(n): | Englisch |
Tagung: | Interfaces: Architecture, Engineering, Science, Annual Meeting of the International Association of Shell & Spatial Structures (IASS), Hamburg, 25-27 September 2017 |
Veröffentlicht in: | Interfaces: Architecture . Engineering . Science |
Jahr: | 2017 |
Abstrakt: | This paper proposes two new applications of traditional optimization methods that can help simplify early-stage architectural or structural parametric design. The first involves analyzing the design variables considered in the problem, and the second clusters designs into families for exploration. |