id 
ecaade2013_144 
authors 
Schneider, Sven and Donath, Dirk 
year 
2013 
title 
TopoMetric Variations for Design Optimization 
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, 1820 September 2013, pp. 487495 
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 windowlayouts), 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 solutionspace. 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 topometric properties. A GM for the generation of facade variants is presented, that is able to systematically vary these topometric 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, topometric properties. 
series 
eCAADe 
email 
sven.schneider@uniweimar.de 
full text 
file.pdf (527,104 bytes) 
references 
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last changed 
2016/05/16 09:08 
