GAUGUIN: generating art using genetic algorithms and user input naturally
Inhaltsverzeichnis
Referenz
Thomas E. Cook: GAUGUIN: generating art using genetic algorithms and user input naturally. GECCO '07 Proceedings of the 9th annual conference companion on Genetic and evolutionary computation, 2647-2650.
DOI
http://dx.doi.org/10.1145/1274000.1274093
Abstract
This paper outlines an undergraduate research project demonstrating an application of evolutionary computation in the context of computer art. The project combines the visual impact of modern computer graphics with the computational power of genetic algorithms. GAUGUIN allows the user to become a creator of art, without requiring any technical or artistic training. By using an intuitive and easily comprehensible process like evolution to create the composition, all the user needs to do is evaluate a number of possible "solutions", which trains the system to recognize his or her specific taste. The act of evaluating and scoring is inherent in all of us; this project simply takes advantage of that behavior in a creative way.
Extended Abstract
Bibtex
@inproceedings{Cook:2007:GGA:1274000.1274093,
author = {Cook, Thomas E.},
title = {GAUGUIN: Generating Art Using Genetic Algorithms and User Input Naturally},
booktitle = {Proceedings of the 9th Annual Conference Companion on Genetic and Evolutionary Computation},
series = {GECCO '07},
year = {2007},
isbn = {978-1-59593-698-1},
location = {London, United Kingdom},
pages = {2647--2650},
numpages = {4},
url = {http://doi.acm.org/10.1145/1274000.1274093 http://digitalcommons.colby.edu/cgi/viewcontent.cgi?article=1269&context=honorstheses http://de.evo-art.org/index.php?title=GAUGUIN:_generating_art_using_genetic_algorithms_and_user_input_naturally},
doi = {10.1145/1274000.1274093},
acmid = {1274093},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {computer art, evolutionary art, interactive art},
}
Used References
1 010101: Art in Technological Time, San Francisco Museum of Modern Art. http://010101.sfmoma.org/
2 Clare Bates Congdon , Raymond H. Mazza, GenTree: an interactive genetic algorithms system for designing 3D polygonal tree models, Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII, July 12-16, 2003, Chicago, IL, USA http://dl.acm.org/citation.cfm?id=1756690&CFID=558819604&CFTOKEN=68186175
3 Jourdan, Thomas. Kandid. http://kandid.sourceforge.net/
4 http://www.opengl.org/resources/libraries/
5 Adock, Stewart. Genetic Algorithm Utility Library. http://gaul.sourcegorge.net
Links
Full Text
http://digitalcommons.colby.edu/cgi/viewcontent.cgi?article=1269&context=honorstheses
