| id |
acadia08_448 |
| authors |
Alfaris, Anas; Riccardo Merello |
| year |
2008 |
| title |
The Generative Multi-Performance Design System |
| source |
Silicon + Skin: Biological Processes and Computation, [Proceedings of the 28th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) / ISBN 978-0-9789463-4-0] Minneapolis 16-19 October 2008, 448-457 |
| doi |
https://doi.org/10.52842/conf.acadia.2008.448
|
| summary |
This paper proposes a framework for an integrated computational design system. This design system builds on the strengths inherent in both generative synthesis models and multi-performance analysis and optimization. Four main design mechanisms and their mathematical models are discussed and their integration proposed. The process of building the design system begins by a top-down decomposition of a design concept. The different disciplines involved are decomposed into modules that simulate the respective design mechanisms. Subsequently through a bottom-up approach, the design modules are connected into a data flow network that includes clusters and subsystems. This network forms the Generative Multi-Performance Design System. This integrated system acts as a holistic structured functional unit that searches the design space for satisfactory solutions. The proposed design system is domain independent. Its potential will be demonstrated through a pilot project in which a multi-performance space planning problem is considered. The results are then discussed and analyzed. |
| keywords |
Analysis; Behavior; Generative; Optimization; Performance |
| series |
ACADIA |
| type |
normal paper |
| full text |
 file.pdf (2,837,044 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:54 |
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