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.
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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)
Baluja, S., Pomerleau, D., Jochem, T.: Towards automated artificial evolution for computer-generated images. Connection Science 6, 325–354 (1994)
Dawkins, R.: The evolution of evolvability. In: Langton, C. (ed.) Artificial Life, pp. 201–220. Addison Wesley, Reading (1989)
Dorin, A.: Aesthetic fitness and artificial evolution for the selection of imagery from the mythical infinite library. In: Kelemen, J., Sosík, P. (eds.) ECAL 2001. LNCS (LNAI), vol. 2159, p. 659. Springer, Heidelberg (2001)
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)
Greenfield, G.: Art and artificial life — a coevolutionary approach. In: Bedau, M., et al. (eds.) Artificial Life VII Conference Proceedings, pp. 529–536. MIT Press, Cambridge (2000)
Greenfield, G.: Color dependent computational aesthetics for evolving expressions. In: Sarhangi, R. (ed.) Bridges 2002 Conference Proceedings, pp. 9–16. Central Plains Book Manufacturing, Winfield KS (2002)
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)
Robertson, B.: Computer artist Michael Tolson. Computer Artist 2, 20–23 (1993)
Sims, K.: Artificial evolution for computer graphics. Computer Graphics 25, 319–328 (1991)
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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Greenfield, G. (2005). Evolutionary Methods for Ant Colony Paintings. In: Rothlauf, F., et al. Applications of Evolutionary Computing. EvoWorkshops 2005. Lecture Notes in Computer Science, vol 3449. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-32003-6_48
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DOI: https://doi.org/10.1007/978-3-540-32003-6_48
Publisher Name: Springer, Berlin, Heidelberg
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