Avoidance Drawings Evolved Using Virtual Drawing Robots
Inhaltsverzeichnis
Referenz
Gary Greenfield: Avoidance Drawings Evolved Using Virtual Drawing Robots. In: EvoMUSART 2015, 78-88.
DOI
http://link.springer.com/chapter/10.1007/978-3-319-16498-4_8
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.
Extended Abstract
Bibtex
@incollection{
year={2015},
isbn={978-3-319-16497-7},
booktitle={Evolutionary and Biologically Inspired Music, Sound, Art and Design},
volume={9027},
series={Lecture Notes in Computer Science},
editor={Johnson, Colin and Carballal, Adrian and Correia, João},
doi={10.1007/978-3-319-16498-4_8},
title={Avoidance Drawings Evolved Using Virtual Drawing Robots},
url={http://dx.doi.org/10.1007/978-3-319-16498-4_8},
url={http://de.evo-art.org/index.php?title=Avoidance_Drawings_Evolved_Using_Virtual_Drawing_Robots},
publisher={Springer International Publishing},
author={Greenfield, Gary},
pages={78-88},
language={English}
}
Used References
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