苏州科技大学学报（自然科学版）2026，Vol.43Issue(1)：60-65,6.DOI:10.12084/j.issn.2096-3289.2026.01.008
视觉传达设计中基于改进SFLA算法的动画人物生成研究
Research on animation character generation based on improved SFLA algorithm in visual communication design
摘要
Abstract
To enhance the intelligence and refinement of animation character generation and address issues such as low efficiency and limited diversity of traditional methods,this study proposes an animation character generation model based on an improved Shuffled Frog Leaping Algorithm(SFLA).By introducing adaptive mutation and hy-brid selection mechanisms and integrating Generative Adversarial Networks(GANs)to improve image realism and stylistic consistency,we constructed a multi-objective fitness function incorporating structural and semantic con-straints to drive population evolution.Experimental results demonstrate that in super-resolution tasks,the model achieves a generation quality of 32.15,structural fidelity of 0.812 5,and visual quality of 4.5.In online sketch col-oring tasks,the generation quality reaches 45.67 with a visual quality of 4.6.In practical applications,image genera-tion matching rate as high as 99%is achieved,with system stutter rates as low as 21%.These findings indicate that the proposed model enhances the efficiency,quality,and stability of animation character generation,providing reli-able automated support for pre-production animation and virtual character design,thereby advancing visual communi-cation design toward intelligent development.关键词
视觉传达设计/动画人物设计/混合蛙跳算法/自适应变异/混合选择机制Key words
visual communication design/animation character design/hybrid frog jump algorithm/adaptive muta-tion/hybrid selection mechanism分类
信息技术与安全科学引用本文复制引用
沈洁,何庆新..视觉传达设计中基于改进SFLA算法的动画人物生成研究[J].苏州科技大学学报（自然科学版）,2026,43(1):60-65,6.基金项目
福建省科技厅计划项目(2024H0038) （2024H0038）
安徽省教育厅科学研究(人文社科类)项目(2025AHGXSK50095) （人文社科类）
