| id |
ecaade2016_163 |
| authors |
Harding, John |
| year |
2016 |
| title |
Evolving Parametric Models using Genetic Programming with Artificial Selection |
| doi |
https://doi.org/10.52842/conf.ecaade.2016.1.423
|
| source |
Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 1, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 423-432 |
| wos |
WOS:000402063700047 |
| summary |
Evolutionary methods with artificial selection have been shown to be an effective human-computer technique for exploring design spaces with unknown goals. This paper investigates an interactive evolution of visual programs currently used in popular parametric modelling software. Although parametric models provide a useful cognitive artifact for designers to interact with, they are often bound by their topological structure with the designer left to adjusting (or optimising) metric variables as part of a design search. By allowing the topological structure of the graph to be evolved as well as the parameters, artificial selection can be employed to explore a wider design space more suited to the early design stage. |
| keywords |
genetic programming; parametric design; artificial selection; evolutionary design; design exploration |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (6,321,048 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:49 |
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