http://de.evo-art.org/index.php?action=history&feed=atom&title=Evolutionary_Art_with_Cartesian_Genetic_ProgrammingEvolutionary Art with Cartesian Genetic Programming - Versionsgeschichte2026-04-06T08:43:03ZVersionsgeschichte dieser Seite in de_evolutionary_art_orgMediaWiki 1.27.4http://de.evo-art.org/index.php?title=Evolutionary_Art_with_Cartesian_Genetic_Programming&diff=1537&oldid=prevGbachelier: Die Seite wurde neu angelegt: „ == Reference == Ashmore L., Miller J. F. Evolutionary Art with Cartesian Genetic Programming. Unpublished (2004) == DOI == == Abstract == Techniques from …“2014-11-20T13:34:29Z<p>Die Seite wurde neu angelegt: „ == Reference == Ashmore L., Miller J. F. Evolutionary Art with Cartesian Genetic Programming. Unpublished (2004) == DOI == == Abstract == Techniques from …“</p>
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== Reference ==<br />
Ashmore L., Miller J. F. Evolutionary Art with Cartesian Genetic Programming. Unpublished (2004) <br />
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== DOI ==<br />
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== Abstract ==<br />
Techniques from the field of Evolutionary Computation are used to<br />
evolve a wide variety of aesthetically pleasing images using Cartesian Genetic<br />
Programming (CGP). The challenges that arise from employing a fitness func-<br />
tion based on aesthetics, and the benefits that CGP can provide, are investigated<br />
and discussed. A significant piece of software was developed that places a fo-<br />
cus on providing the user with efficient control over the evolutionary process.<br />
Several ‘non-user’ fitness functions that assess the phenotypes and genotypes<br />
of the chromosomes were also employed with varying success. To improve<br />
these results, methods of maintaining diversity within the population that take<br />
advantage of the neutrality of CGP are implemented and tested.<br />
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== Extended Abstract ==<br />
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== Bibtex == <br />
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== Used References ==<br />
1. Koza, J. R. : Genetic Programming, MIT Press, London, (1993)<br />
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2. Machado, P. and Cardoso, A. : NEvAr --- The Assessment of an Evolutionary Art Tool. In:<br />
Wiggins, G. (Ed.). Proceedings of the AISB00 Symposium on Creative & Cultural Aspects<br />
and Applications of AI & Cognitive Science, Birmingham, UK, 2000<br />
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3. Miller, J. F. Thomson, P. : Cartesian Genetic Programming, Proceedings of the 3 European<br />
Conference on Genetic Programming, Edinburgh, Springer, Berlin (2000) 121-132<br />
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4. Rooke, S. : Eons of Genetically Evolved Algorithmic Images. In: Bentley P. J. and Corne<br />
D. (eds.): Creative Evolutionary systems, Morgan Kaufmann, San Francisco (2002)<br />
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5. Sims, K. : Artificial Evolution for Computer Graphics. Computer Graphics, Vol. 25, (1991)<br />
319-328<br />
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6. Yu, T. and Miller, J. F. : Neutrality and the evolvability of Boolean function landscape.<br />
Proceedings of the Fourth European Conference on Genetic Programming, Springer-Verlag,<br />
Berlin (2001) 204-217<br />
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== Links ==<br />
=== Full Text === <br />
https://sites.google.com/site/julianfrancismiller/research-papers/evoart2004-ashmore.pdf?attredirects=0<br />
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[[intern file]]<br />
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=== Sonstige Links ===</div>Gbachelier