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  doi={10.1007/978-3-540-32003-6_48},
 
  doi={10.1007/978-3-540-32003-6_48},
 
  title={Evolutionary Methods for Ant Colony Paintings},
 
  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},
+
  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},
 
  publisher={Springer Berlin Heidelberg},
 
  author={Greenfield, Gary},
 
  author={Greenfield, Gary},

Aktuelle Version vom 1. November 2015, 22:32 Uhr


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}
}

Used References

Monmarché, N., Aupetit, S., Bordeau, V., Slimane, M., Venturini, G.: Interactive evolution of ant paintings. In: McKay, B., et al. (eds.) Congress on Evolutionary Computation Proceedings, vol. 2, pp. 1376–1383. IEEE Press, Los Alamitos (2003)

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Graf, J., Banzhaf, W.: Interactive evolution of images. In: McDonnell, J., et al. (eds.) Genetic Programming IV: Proceedings of the Fourth Annual Conference on Evolutionary Programming, pp. 53–65. MIT Press, Cambridge (1995)

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Greenfield, G.: Evolving aesthetic images using multiobjective optimization. In: McKay, B., et al. (eds.) Congress on Evolutionary Computation Proceedings, vol. 3, pp. 1902–1909. IEEE Press, Los Alamitos (2003)

Ramachandran, V., Hirstein, W.: The science of art: a neurological theory of aesthetic experience. Journal of Consciousness Studies 6, 15–52 (1999)

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Sprott, J.: The computer artist and art critic. In: Pickover, C. (ed.) Fractal Horizons, pp. 77–115. St. Martin’s Press (1996)

Todd, S., Latham, W.: Evolutionary Art and Computers. Academic Press, San Diego (1992)

Zeki, S.: Inner Vision, An Exploration of Art and the Brain. Oxford University Press, New York (1999)


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