Affiliations: [a] School of Arts and Design, Hubei Engineering University, Xiaogan, China
| [b]
Pukyong National University, Busan, Korea
Correspondence:
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Corresponding author. Ling Zhou, School of Arts and Design, Hubei Engineering University, Xiaogan, 432100, China. E-mail: [email protected].
Abstract: Traditional cultural symbols widely appear in visual communication design. The development of visual communication design has greatly promoted the development and modernization of traditional culture. After analyzing the research status of genetic algorithm in the field of traditional culture, this paper finds that the application of genetic algorithm is less, and there is no specific application of relevant models. Therefore, this paper codes the traditional cultural symbols and constructs a visual communication design model based on artificial intelligence model, which can effectively solve the problem that the fuzzy measure cannot be fused. In order to better apply traditional cultural symbols to visual communication design based on this model, genetic algorithm technology is further proposed to superimpose the two. In order to verify the application effect of the model, the coding efficiency and computational efficiency of the model are tested. It can be seen from the experiment that the artificial intelligence visual communication design model based on genetic algorithm has higher coding efficiency of traditional cultural symbols and computing efficiency of genetic algorithm, which has certain application value.
Keywords: Genetic algorithm, design, traditional culture symbol, visual communication
design
