| id |
ecaade2015_22 |
| authors |
Keles, Hacer Yalim |
| year |
2015 |
| title |
Embedding Parts in Sketches Using a Parallel Evolutionary Approach |
| doi |
https://doi.org/10.52842/conf.ecaade.2015.1.269
|
| source |
Martens, B, Wurzer, G, Grasl T, Lorenz, WE and Schaffranek, R (eds.), Real Time - Proceedings of the 33rd eCAADe Conference - Volume 1, Vienna University of Technology, Vienna, Austria, 16-18 September 2015, pp. 269-276 |
| wos |
WOS:000372317300029 |
| summary |
Detection of emergent shapes in sketches requires extensive exploration of the design space. Automating this process with computational methods enables locating various alternatives sequentially or all at once simultaneously via high computational power. This not only helps efficient design space exploration but also provides a systematic way for keeping track of the design process. However, it is a challenge to define a generic computational method which optimizes the design space searches in time and space. The approaches that are based on optimization may suffer from time efficiency and local minima problems. These problems are substantially solved in this work by performing comprehensive parallel searches in the design space with a genetic algorithm. Advantage of this approach is that the local minima problem is reduced significantly without increasing the execution times. |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (5,957,558 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:52 |
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