Fractal Art Pattern Generation Based on Genetic Algorithm

Author:

Liu Huabai1ORCID

Affiliation:

1. College of Art and Design, Hunan Automotive Engineering Vocational College, Zhuzhou 412001, Hunan, China

Abstract

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.

Funder

Education Department of Hunan Province

Publisher

Hindawi Limited

Subject

General Computer Science

Reference25 articles.

1. Optimization Design of Resonance Coils With High Misalignment Tolerance for Drone Wireless Charging Based on Genetic Algorithm

2. A multi-layered data encryption and decryption scheme based on genetic algorithm and residual numbers;E. Y. Baagyere;IEEE Access,2020

3. On-demand optimize design of sound-absorbing porous material based on multi-population genetic algorithm

4. Passive Remote Sensing of Ice Cloud Properties at Terahertz Wavelengths Based on Genetic Algorithm

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