Exploring the innovation of visual communication design style based on artificial intelligence technology

被引：1
作者：
Yan H. [1 ,3 ]
Wen W. [1 ]
Wang L. [1 ,2 ]
机构：
[1] School of Design Art, Changsha University of Science & Technology, Hunan, Changsha
[2] College of Design and Innovation, Tongji University, Shanghai
[3] Arts Crafts Industrial Design Center of Hunan Province, Changsha University of Science & Technology, Changsha
来源：
Applied Mathematics and Nonlinear Sciences | 2024年 / 9卷 / 01期
关键词：
Ant colony algorithm; Artificial intelligence technology; ASM semantics; Automatic scheduling algorithm; Fixed-value method; Scheduling objective function;
D O I：
10.2478/amns.2023.2.00507
中图分类号：
学科分类号：
摘要：
By exploring the application of artificial intelligence technology in visual communication design, the design efficiency and innovation of visual communication can be effectively improved. In order to automatically arrange graphic language in visual communication design, a novel algorithm is proposed in this research, together with a functional model of artificial intelligence technology design. The minimum and maximum values of the number of orchestrated pages are used as the objective orchestration function for calculating the display size of buffer images in visual communication design. In visual communication design, an ant colony method is used to determine where graphics should be displayed best, and ASM semantics is used to describe the graphics language. The proposed algorithm is programmed and runs to achieve the innovation and development of visual communication design style by using the parallel selection mark to describe the graphic language and realize the automatic arrangement. The experimental results show that the visual saturation obtained based on artificial intelligence technology can reach up to 97%, the mean value of user satisfaction is 7.789, and the TGB consideration characteristics are evenly distributed. It can be seen that an innovative visual thinking mode can convey novel design concepts in visual communication design and optimize the visual communication design effect. © 2023 Haian Yan, Weimin Wen and Long Wang, published by Sciendo.
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