Cartesian Genetic Programming Algorithm and its Application in Artistic Graphics Generation
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- @InProceedings{Xu:2023:ASIANCON,
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author = "Weiwei Xu",
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booktitle = "2023 3rd Asian Conference on Innovation in Technology
(ASIANCON)",
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title = "Cartesian Genetic Programming Algorithm and its
Application in Artistic Graphics Generation",
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year = "2023",
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abstract = "The Cartesian genetic programming algorithm is a
method of generating images using genetic rules. The
basic idea behind it is to create a random 'gene'
population, and then combine them into new genes
through crossover and mutation, which will generate new
combinations that can be used to generate images. This
algorithm has created a new form of artistic
expression, expanding people's understanding and
understanding of artistic graphics. In the generation
of artistic graphics, this algorithm is often applied
to design and draw symmetrical shapes, while also
continuously optimising and improving based on
individual fitness and other selection operations. In
addition, the Cartesian genetic programming algorithm
can also be used in the fields of 2D and 3D graphic
design to meet different application needs. The main
idea behind it is to represent the image as a grid of
pixels, where each pixel has its own colour value and
brightness. In this way, we can use the Cartesian
genetic programming algorithm (CGPA) to find the
appropriate colour and brightness for each pixel in the
image. The basic idea behind CGPA is that we have an
input image (image) composed of pixels arranged on a 2D
grid. In summary, the Cartesian genetic programming
algorithm has important application value in the
generation of artistic graphics. It can not only
optimise the traditional graph generation algorithm,
but also develop some new artistic expressions, adapt
to different application scenarios, and promote the
progress and development of computer graphics and art
fields.",
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keywords = "genetic algorithms, genetic programming, Technological
innovation, Three-dimensional displays, Art, Image
colour analysis, Shape, Brightness, Sociology,
Descartes, Graphic production, 2D mesh",
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DOI = "doi:10.1109/ASIANCON58793.2023.10270730",
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month = aug,
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notes = "Also known as \cite{10270730}",
- }
Genetic Programming entries for
Weiwei Xu
Citations