Evolutionary Methods for Ant Colony Paintings
Inhaltsverzeichnis
Reference
Greenfield, Gary: Evolutionary Methods for Ant Colony Paintings. In: EvoMUSART 2005, S. 478-487.
DOI
http://link.springer.com/10.1007/978-3-540-32003-6_48
Abstract
We investigate evolutionary methods for using an ant colony optimization model to evolve “ant paintings.” Our model is inspired by the recent work of Monmarché et al. The two critical differences between our model and that of Monmarché’s are: (1) we do not use an interactive genetic algorithm, and (2) we allow the pheromone trail to serve as both a repelling and attracting force. Our results show how different fitness measures induce different artistic “styles” in the evolved paintings. Moreover, we explore the sensitivity of these styles to perturbations of the parameters required by the genetic algorithm. We also discuss the evolution and interaction of various castes within our artificial ant colonies.
Extended Abstract
Bibtex
@incollection{ year={2005}, isbn={978-3-540-25396-9}, booktitle={Applications of Evolutionary Computing}, volume={3449}, series={Lecture Notes in Computer Science}, editor={Rothlauf, Franz and Branke, Jürgen and Cagnoni, Stefano and Corne, DavidWolfe and Drechsler, Rolf and Jin, Yaochu and Machado, Penousal and Marchiori, Elena and Romero, Juan and Smith, GeorgeD. and Squillero, Giovanni}, doi={10.1007/978-3-540-32003-6_48}, title={Evolutionary Methods for Ant Colony Paintings}, url={http://dx.doi.org/10.1007/978-3-540-32003-6_48 http://de.evo-art.org/index.php?title=Evolutionary_Methods_for_Ant_Colony_Paintings }, publisher={Springer Berlin Heidelberg}, author={Greenfield, Gary}, pages={478-487}, language={English} }
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