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Evolutionary Methods for Ant Colony Paintings

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 3449)

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.

Keywords

  • Evolutionary Method
  • Background Color
  • Pheromone Trail
  • Exploration Time
  • Computer Artist

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  • DOI: 10.1007/978-3-540-32003-6_48
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References

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© 2005 Springer-Verlag Berlin Heidelberg

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Greenfield, G. (2005). Evolutionary Methods for Ant Colony Paintings. In: , 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

  • Print ISBN: 978-3-540-25396-9

  • Online ISBN: 978-3-540-32003-6

  • eBook Packages: Computer ScienceComputer Science (R0)