Research Article
Analysis of Indigo Dyeing Pattern Design Structure based on Interactive Genetic Algorithm
@INPROCEEDINGS{10.4108/eai.17-11-2023.2342786, author={Lan Lu}, title={Analysis of Indigo Dyeing Pattern Design Structure based on Interactive Genetic Algorithm}, proceedings={Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India}, publisher={EAI}, proceedings_a={ICSETPSD}, year={2024}, month={1}, keywords={interactive genetic algorithm fashion design indigo dyeing pattern structure}, doi={10.4108/eai.17-11-2023.2342786} }
- Lan Lu
Year: 2024
Analysis of Indigo Dyeing Pattern Design Structure based on Interactive Genetic Algorithm
ICSETPSD
EAI
DOI: 10.4108/eai.17-11-2023.2342786
Abstract
With the development of economic globalization, all walks of life are carrying out positive changes and innovation. As one of the important parts of the modern industry, the garment industry has also been greatly affected. If enterprises want to maximize their own value and social benefits, they must attach importance to the optimization research of their production management links. Indigo dyeing is a very special dyeing and finishing process, which not only has high added value, but also can improve the quality of products and make products more competitive. Therefore, in order to effectively improve the application effect of this technology, it is necessary to strengthen the relevant research and development work, and through continuous improvement and perfection, to meet the needs of the market. Interactive genetic algorithm has a wide application prospect in the field of computer vision with its powerful global search ability and fast computing speed. It plays a crucial role in the selection of various parameters in the image processing of indigo dyeing design. Based on this principle, this paper introduces it into the clothing printing and dyeing industry, realizes the optimization of dye and other process factors, and finally improves the dyeing and finishing processing efficiency. In this paper, the traditional dyeing process is compared with the dyeing process based on interactive genetic algorithm.