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Arts and Technology. First International Conference, ArtsIT 2009, Yi-Lan, Taiwan, September 24-25, 2009, Revised Selected Papers

Research Article

Can’t See the Forest: Using an Evolutionary Algorithm to Produce an Animated Artwork

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  • @INPROCEEDINGS{10.1007/978-3-642-11577-6_32,
        author={Karen Trist and Vic Ciesielski and Perry Barile},
        title={Can’t See the Forest: Using an Evolutionary Algorithm to Produce an Animated Artwork},
        proceedings={Arts and Technology. First International Conference, ArtsIT 2009, Yi-Lan, Taiwan, September 24-25, 2009, Revised Selected Papers},
        proceedings_a={ARTSIT},
        year={2012},
        month={5},
        keywords={Evolutionary programming evolved art new media art software art animation algorithmic art AI genetic programming genetic art non photorealistic rendering},
        doi={10.1007/978-3-642-11577-6_32}
    }
    
  • Karen Trist
    Vic Ciesielski
    Perry Barile
    Year: 2012
    Can’t See the Forest: Using an Evolutionary Algorithm to Produce an Animated Artwork
    ARTSIT
    Springer
    DOI: 10.1007/978-3-642-11577-6_32
Karen Trist1,*, Vic Ciesielski1,*, Perry Barile1,*
  • 1: RMIT University
*Contact email: karen.trist@rmit.edu.au, vic.ciesielski@rmit.edu.au, perry.barile@rmit.edu.au

Abstract

We describe an artist’s journey of working with an evolutionary algorithm to create an artwork suitable for exhibition in a gallery. Software based on the evolutionary algorithm produces animations which engage the viewer with a target image slowly emerging from a random collection of greyscale lines. The artwork consists of a grid of movies of eucalyptus tree targets. Each movie resolves with different aesthetic qualities, tempo and energy. The artist exercises creative control by choice of target and values for evolutionary and drawing parameters.

Keywords
Evolutionary programming evolved art new media art software art animation algorithmic art AI genetic programming genetic art non photorealistic rendering
Published
2012-05-28
http://dx.doi.org/10.1007/978-3-642-11577-6_32
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