id |
ecaade2013_144 |
authors |
Schneider, Sven and Donath, Dirk |
year |
2013 |
title |
Topo-Metric Variations for Design Optimization |
doi |
https://doi.org/10.52842/conf.ecaade.2013.1.487
|
source |
Stouffs, Rudi and Sariyildiz, Sevil (eds.), Computation and Performance – Proceedings of the 31st eCAADe Conference – Volume 1, Faculty of Architecture, Delft University of Technology, Delft, The Netherlands, 18-20 September 2013, pp. 487-495 |
summary |
The conception of a Generative Model (GM) is an important step when applying optimization methods in architectural design. The variant spectrum generable with a GM determines if an optimal solution for the different demands placed on a design can be found. Using the example of optimizing façades (more specifically window-layouts), it is shown that GM that exclusively vary either metric or topological properties of the geometry are not sufficient, because they only cover a highly restricted solution-space. To keep the solution space as large as possible, it is argued, that it is necessary to vary both topological and metric properties. The combination of both properties is called topo-metric properties. A GM for the generation of facade variants is presented, that is able to systematically vary these topo-metric properties. The effectiveness of the developed GM compared to conventional GMs is demonstrated using a simple test scenario. |
wos |
WOS:000340635300051 |
keywords |
Design optimization; modeling; evolutionary algorithms, topo-metric properties. |
series |
eCAADe |
email |
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full text |
file.pdf (527,104 bytes) |
references |
Content-type: text/plain
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last changed |
2022/06/07 07:57 |
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