Co-evolutionary Methods in Evolutionary Art
Inhaltsverzeichnis
Referenz
Greenfield, Gary: Co-evolutionary Methods in Evolutionary Art. In: Romero, Juan; Machado, Penousal: The Art of Artificial Evolution. Springer, Berlin, 2007, S. 357-380.
DOI
http://link.springer.com/10.1007/978-3-540-72877-1_17
Abstract
Following the ground breaking work of Sims and Latham there was a flurry of activity in interactive artificial evolution of images. However, the move towards non-interactive evolution of images that arises by invoking fitness functions to serve in place of users in order to guide simulated evolution proceeded haltingly and unevenly. If evolutionary computational models for image evolution are indeed inspired by nature, then it is natural to consider image evolution in the broader co-evolutionary context. This chapter briefly surveys the role co-evolutionary methods have played in evolutionary computation and then examines some of the instances where it has been applied to evolutionary art. The paucity of examples leads to a discussion of the challenges faced, and the difficulties encountered, when trying to use co-evolutionary methods both in evolutionary art and artificial creativity.
Extended Abstract
Bibtex
@incollection{
year={2008},
isbn={978-3-540-72876-4},
booktitle={The Art of Artificial Evolution},
series={Natural Computing Series},
editor={Romero, Juan and Machado, Penousal},
doi={10.1007/978-3-540-72877-1_17},
title={Co-evolutionary Methods in Evolutionary Art},
url={http://dx.doi.org/10.1007/978-3-540-72877-1_17 http://de.evo-art.org/index.php?title=Co-evolutionary_Methods_in_Evolutionary_Art },
publisher={Springer Berlin Heidelberg},
author={Greenfield, GaryR.},
pages={357-380},
language={English}
}
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