Fractal Art Pattern Generation Based on Genetic Algorithm

In order to solve the problem in the application and optimization method of fractal art pattern generation, on the basis of the integration of the fractal theory and genetic algorithm, a generation method based on genetic algorithm and composition generation was proposed. The method provided a more...

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Main Author: Huabai Liu
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Advances in Multimedia
Online Access:http://dx.doi.org/10.1155/2022/8926488
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author Huabai Liu
author_facet Huabai Liu
author_sort Huabai Liu
collection DOAJ
description In order to solve the problem in the application and optimization method of fractal art pattern generation, on the basis of the integration of the fractal theory and genetic algorithm, a generation method based on genetic algorithm and composition generation was proposed. The method provided a more stable and convenient supporting environment for the innovative design of artistic patterns, which met the needs of different users for the design of artistic patterns. The experimental results showed that the simplified genetic programming algorithm was optimized in both individual coding complexity and algorithm complexity. The search space was 1023-1026 times larger than the traditional algorithm, and the evaluation times were 2-3 times larger than the traditional algorithm. The results showed that the method could solve the problem that fitness function could not express well and ensure the optimal genetic population.
format Article
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institution OA Journals
issn 1687-5699
language English
publishDate 2022-01-01
publisher Wiley
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series Advances in Multimedia
spelling doaj-art-a4e174f1407044c9a6f437f0a26ef97b2025-08-20T02:23:05ZengWileyAdvances in Multimedia1687-56992022-01-01202210.1155/2022/8926488Fractal Art Pattern Generation Based on Genetic AlgorithmHuabai Liu0College of Art and DesignIn order to solve the problem in the application and optimization method of fractal art pattern generation, on the basis of the integration of the fractal theory and genetic algorithm, a generation method based on genetic algorithm and composition generation was proposed. The method provided a more stable and convenient supporting environment for the innovative design of artistic patterns, which met the needs of different users for the design of artistic patterns. The experimental results showed that the simplified genetic programming algorithm was optimized in both individual coding complexity and algorithm complexity. The search space was 1023-1026 times larger than the traditional algorithm, and the evaluation times were 2-3 times larger than the traditional algorithm. The results showed that the method could solve the problem that fitness function could not express well and ensure the optimal genetic population.http://dx.doi.org/10.1155/2022/8926488
spellingShingle Huabai Liu
Fractal Art Pattern Generation Based on Genetic Algorithm
Advances in Multimedia
title Fractal Art Pattern Generation Based on Genetic Algorithm
title_full Fractal Art Pattern Generation Based on Genetic Algorithm
title_fullStr Fractal Art Pattern Generation Based on Genetic Algorithm
title_full_unstemmed Fractal Art Pattern Generation Based on Genetic Algorithm
title_short Fractal Art Pattern Generation Based on Genetic Algorithm
title_sort fractal art pattern generation based on genetic algorithm
url http://dx.doi.org/10.1155/2022/8926488
work_keys_str_mv AT huabailiu fractalartpatterngenerationbasedongeneticalgorithm