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Avoidance Drawings Evolved Using Virtual Drawing Robots

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 9027)

Abstract

We introduce a generative system for “avoidance drawings”, drawings made by virtual drawing robots executing a random walk while simultaneously avoiding the paths of other robots. The random walk method is unique and is based on a curvature controlling scheme initially introduced by Chappell. We design a fitness function for evaluating avoidance drawings and an evolutionary framework for evolving them. This requires us to follow principles we elucidate for simulated evolution where the generative system is highly stochastic in nature. Examples document the evolutionary system’s efficacy and success.

Keywords

  • Random Walk
  • Fitness Landscape
  • Evolutionary Framework
  • Pseudo Random Number Generator
  • Stylize Line

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: 10.1007/978-3-319-16498-4_8
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Correspondence to Gary Greenfield .

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Greenfield, G. (2015). Avoidance Drawings Evolved Using Virtual Drawing Robots. In: Johnson, C., Carballal, A., Correia, J. (eds) Evolutionary and Biologically Inspired Music, Sound, Art and Design. EvoMUSART 2015. Lecture Notes in Computer Science(), vol 9027. Springer, Cham. https://doi.org/10.1007/978-3-319-16498-4_8

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  • DOI: https://doi.org/10.1007/978-3-319-16498-4_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16497-7

  • Online ISBN: 978-3-319-16498-4

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