Cartesian Genetic Programming Algorithm and its Application in Artistic Graphics Generation

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Xu:2023:ASIANCON,

• author = "Weiwei Xu",
• booktitle = "2023 3rd Asian Conference on Innovation in Technology (ASIANCON)",
• title = "Cartesian Genetic Programming Algorithm and its Application in Artistic Graphics Generation",
• year = "2023",
• 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.",
• keywords = "genetic algorithms, genetic programming, Technological innovation, Three-dimensional displays, Art, Image colour analysis, Shape, Brightness, Sociology, Descartes, Graphic production, 2D mesh",
• DOI = "doi:10.1109/ASIANCON58793.2023.10270730",
• month = aug,
• notes = "Also known as \cite{10270730}",

}

Genetic Programming entries for Weiwei Xu

Citations