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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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