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Co-evolutionary Methods in Evolutionary Art

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Book cover The Art of Artificial Evolution

Part of the book series: Natural Computing Series ((NCS))

Summary

Following the ground breaking work of Sims and Latham there was a flurry of activity in interactive artificial evolution of images. However, the move towards non-interactive evolution of images that arises by invoking fitness functions to serve in place of users in order to guide simulated evolution proceeded haltingly and unevenly. If evolutionary computational models for image evolution are indeed inspired by nature, then it is natural to consider image evolution in the broader co-evolutionary context. This chapter briefly surveys the role co-evolutionary methods have played in evolutionary computation and then examines some of the instances where it has been applied to evolutionary art. The paucity of examples leads to a discussion of the challenges faced, and the difficulties encountered, when trying to use co-evolutionary methods both in evolutionary art and artificial creativity.

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Author information

Authors and Affiliations

  1. University of Richmond, Richmond,Virginia 23173, USA

    Gary R. Greenfield

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  1. Gary R. Greenfield
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Editors and Affiliations

  1. Department of Information and Communication Technologies, University of A Coruña Campus de Elvina, 15071 La Coruña, Spain

    Juan Romero

  2. CISUC Dept. of Informatics Engineering, University of Coimbra, 3030 Coimbra, Portugal

    Penousal Machado

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© 2008 Springer-Verlag Berlin Heidelberg

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Greenfield, G.R. (2008). Co-evolutionary Methods in Evolutionary Art. In: Romero, J., Machado, P. (eds) The Art of Artificial Evolution. Natural Computing Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72877-1_17

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  • DOI: https://doi.org/10.1007/978-3-540-72877-1_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72876-4

  • Online ISBN: 978-3-540-72877-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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