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Tilings of Sequences of Co-evolved Images

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Part of the Lecture Notes in Computer Science book series (LNCS,volume 3005)

Abstract

Sims’ well-known technique for using evolving expressions to generate abstract images is paired with a co-evolutionary hosts and parasites fitness scheme to instantiate an evolutionary simulation. An added twist is that image populations are completely replaced after each generation. The goal is to identify evolutionary epochs where significant aesthetic themes emerge so that sequences of maximally fit images can be culled. Culled sequences are used to construct tilings. The technique yields abstract tilings where the interplay between creation, competition, and cooperation of visual themes combine to produce some surprising aesthetic results.

Keywords

  • Host Image
  • Image Population
  • Image Phenotype
  • Aesthetic Evaluation
  • Interactive Genetic Algorithm

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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© 2004 Springer-Verlag Berlin Heidelberg

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Greenfield, G. (2004). Tilings of Sequences of Co-evolved Images. In: , et al. Applications of Evolutionary Computing. EvoWorkshops 2004. Lecture Notes in Computer Science, vol 3005. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24653-4_44

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  • DOI: https://doi.org/10.1007/978-3-540-24653-4_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21378-9

  • Online ISBN: 978-3-540-24653-4

  • eBook Packages: Springer Book Archive