Using scalable vector graphics to evolve art
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- @Article{DenHeijer:2016:IJART,
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title = "Using scalable vector graphics to evolve art",
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author = "Eelco {Den Heijer} and A. E. Eiben",
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journal = "Int. J. of Arts and Technology",
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year = "2016",
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month = mar # "~22",
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volume = "9",
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number = "1",
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pages = "59--85",
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keywords = "genetic algorithms, genetic programming, evolutionary
computation, evolutionary art, scalable vector
graphics, SVG, initialisation, genotype representation,
abstract images, aesthetics, fitness functions",
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publisher = "Inderscience Publishers",
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ISSN = "1754-8861",
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bibsource = "OAI-PMH server at www.inderscience.com",
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language = "eng",
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URL = "http://www.inderscience.com/link.php?id=75408",
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DOI = "doi:10.1504/IJART.2016.075408",
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size = "27 pages",
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abstract = "In this paper, we describe our investigations of the
use of scalable vector graphics as a genotype
representation in evolutionary art. We describe the
technical aspects of using SVG in evolutionary art, and
explain our custom, SVG specific operators
initialisation, mutation and crossover. We perform two
series of experiments; in the first series of
experiments, we investigate the feasibility of SVG as a
genotype representation for evolutionary art, and
evolve abstract images using a number of aesthetic
measures as fitness functions. In the second series of
experiments, we used existing images as source
material. We also designed and implemented an ad-hoc
aesthetic measure for pop-art and used this to evolve
images that are visually similar to pop-art. All
experiments described in this paper are done without a
human in the loop. All images and SVG code examples in
this paper are available at
http://www.eelcodenheijer.nl/research.",
- }
Genetic Programming entries for
Eelco den Heijer
Gusz Eiben
Citations