Artificial life based on boids model and evolutionary chaotic neural networks for creating artworks
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- @Article{CHOI:2017:SEC,
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author = "Tae Jong Choi and Chang Wook Ahn",
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title = "Artificial life based on boids model and evolutionary
chaotic neural networks for creating artworks",
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journal = "Swarm and Evolutionary Computation",
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year = "2017",
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keywords = "genetic algorithms, genetic programming, Artificial
life, Boids model, Chaotic neural networks,
Differential evolution, Glitch art",
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ISSN = "2210-6502",
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DOI = "doi:10.1016/j.swevo.2017.09.003",
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URL = "http://www.sciencedirect.com/science/article/pii/S2210650217301700",
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abstract = "In this paper, we propose a multi-agent based art
production framework. In existing artwork creation
systems, images were generated using artificial life
and evolutionary computation approaches. In artificial
life, swarm intelligence or Boids model, and in
evolutionary computation, genetic algorithm or genetic
programming are commonly used to create images. These
automated artwork creation systems make it easy to
create artistic images even if the users are not
professional artists. Despite the high possibility of
these creation systems, however, much research has not
been done so far. In this paper, we propose an art
production framework that generates images using
multi-agents with chaotic dynamics features. Agents act
on the canvas following the three rules of Boids model.
In addition, each agent possesses a chaotic neural
network which trained by differential evolution
algorithm, so that colors can be evolved to represent a
better style. As a result, we propose an art production
framework for generating processing artworks that
contain highly complex dynamics. Finally, we created
the glitch artworks using the proposed framework, which
shows a new glitch style",
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keywords = "genetic algorithms, genetic programming, Artificial
life, Boids model, Chaotic neural networks,
Differential evolution, Glitch art",
- }
Genetic Programming entries for
Tae Jong Choi
Chang Wook Ahn
Citations