目的 为解决用户参与装饰图案设计时专业度不足,以及满足其个性化审美偏好的问题,提出一种基于改进式的交互式遗传算法（IGA）的设计方法。方法 将层次分析法（AHP）与IGA相结合,基于设计专家评估的指标与权重,优化种群迭代适应度函数,提升设计评估与算法迭代的专业性,完善设计专家与用户协同设计的工作流程。用户对设计方案评分,算法据此完成进化,生成兼具个性化审美偏好与专业性的设计方案。结果 以陕西剪纸装饰图案设计为例,验证基于剪纸特征纹样的批量装饰图案设计方案生成的可行性,该方法兼顾装饰图案设计专业性与用户个性化审美偏好要求。结论 实验结果表明,该方法能在保证设计专业性的基础上有效提高用户参与度,生成符合个性化需求的专业设计方案,并在收敛速度和设计效果上优于传统IGA。
Abstract
The work aims to propose a design method based on improved interactive genetic algorithm (IGA) to solve the problem of insufficient professionalism and difficulty in satisfying users' personalized aesthetic preferences when participating in the design of decorative patterns. Based on the indicators and weights of design expert evaluation, the analytic hierarchy process (AHP) was combined with IGA to optimize the population iterative fitness function, improve the professionalism of design evaluation and algorithm iteration, and improve the workflow of collaborative design between design experts and users. After the user scored the design plan, and the algorithm evolved accordingly to generate a design plan that combined personalized aesthetic preferences and professionalism. With Shaanxi paper-cut decorative pattern design as an example, the feasibility of generating a batch decorative pattern design scheme based on paper-cut characteristic patterns was verified, and the method took into account the professionalism of decorative pattern design and the user's personalized aesthetic preference requirements. Experimental results show that the proposed method can effectively improve user participation on the basis of ensuring the professionalism of the design, generate a professional design scheme that meets the personalized needs, and is better than the traditional IGA in terms of convergence speed and effect.
关键词
交互式遗传算法（IGA） /
层次分析法（AHP） /
个性化审美偏好 /
装饰图案设计 /
陕西剪纸
Key words
interactive genetic algorithm (IGA) /
analytic hierarchy process (AHP) /
personalized aesthetic preferences /
decorative pattern design /
Shaanxi paper-cut
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参考文献
[1] 岳涵, 吴慧欣, 王玲, 等. 基于形状文法的岫岩满族剪纸艺术纹样在当代家具装饰中的应用探析[J]. 家具与室内装饰, 2023, 30(3): 21-26.
YUE H, WU H X, WANG L, et al.An Analysis of the Application of Xiuyan Manchu Paper-Cut Art Patterns Based on Shape Grammar in Contemporary Furniture Decoration[J]. Furniture & Interior Design, 2023, 30(3): 21-26.
[2] 任尧. 基于模糊Kano模型的阜阳剪纸文创产品设计研究[D]. 马鞍山: 安徽工业大学, 2020.
REN Y.Research on Design of Fuyang Paper-Cut Cultural and Creative Product Based on Fuzzy Kano Model [D]. Maanshan: Anhui Universit of Technology, 2020.
[3] 黄颖. 安塞剪纸元素在文创产品设计中的应用研究[D]. 延安: 延安大学, 2023.
HUANG Y.Application Research of Ansai Paper- Cutting Elements in Cultural and Creative Products Design[D]. Yan'an: Yan'an University, 2023.
[4] 黄缨, 余洁. 民间剪纸图案在包装设计中的应用研究[J]. 美术教育研究, 2023(5): 105-107.
HUANG Y, YU J.Research on the Application of Folk Paper-Cut Patterns in Packaging Design[J]. Art Education Research, 2023(5): 105-107.
[5] 文盈, 李昊. 基于FM-MRW特征的剪纸纹样回声状态网络识别[J]. 控制工程, 2018, 25(6): 1019-1025.
WEN Y, LI H.Recognition of Echo State Network of Paper Cutting Patterns Based on FM-MRW Features[J]. Control Engineering of China, 2018, 25(6): 1019-1025.
[6] ZHANG X L, YANG C Y.Application of Multipopulation Genetic Algorithm in Industrial Special Clothing Design[J]. Wireless Communications and Mobile Computing, 2022, 2022: 1632063.
[7] 唐路明, 刘肖健, 胡丰. 基于交互式遗传算法的轨道列车造型优化设计研究[J]. 机械设计, 2020, 37(6): 123-128.
TANG L M, LIU X J, HU F.Research on Optimal Design of Rail Train Modeling Based on Interactive Genetic Algorithm[J]. Journal of Machine Design, 2020, 37(6): 123-128.
[8] 张卓, 丛洪莲, 蒋高明, 等. 基于交互式遗传算法的Polo衫快速款式推荐系统[J]. 纺织学报, 2021, 42(1): 138-144.
ZHANG Z, CONG H L, JIANG G M, et al.Polo Shirt Rapid Style Recommendation System Based on Interactive Genetic Algorithm[J]. Journal of Textile Research, 2021, 42(1): 138-144.
[9] 王晗希. 基于交互式遗传算法的服装几何花卉图案的设计[D]. 杭州: 浙江理工大学, 2017.
WANG H X.Design of Geometric Flower Cluster Based on Interactive Genetic Algorithm[D]. Hangzhou: Zhejiang Sci-Tech University, 2017.
[10] 于龙, 肖爱民, 邱迅, 等. 基于交互式遗传算法的服装定制系统[J]. 毛纺科技, 2023, 51(9): 100-106.
YU L, XIAO A M, QIU X, et al.Garment Customization System Based on Interactive Genetic Algorithm[J]. Wool Textile Journal, 2023, 51(9): 100-106.
[11] 孙艳, 王万良, 赵燕伟, 等. 产品研发中面向用户意象的交互式遗传算法评价模式[J]. 计算机集成制造系统, 2012, 18(2): 276-281.
SUN Y, WANG W L, ZHAO Y W, et al.User Image Oriented Interactive Genetic Algorithm Evaluation Mode in Product Development[J]. Computer Integrated Manufacturing Systems, 2012, 18(2): 276-281.
[12] 刘肖健, 彭程, 吕芸芸. 配色设计智能优化的非随机种群方法[J]. 图学学报, 2021, 42(6): 1035-1042.
LIU X J, PENG C, LYU Y Y.Non-Random Population Method for Intelligent Optimization of Color Matching Design[J]. Journal of Graphics, 2021, 42(6): 1035-1042.
[13] SHEIKHI D Z, KAEDI M.Improving the Interactive Genetic Algorithm for Customer-Centric Product Design by Automatically Scoring the Unfavorable Designs[J]. Human-Centric Computing and Information Sciences, 2017, 7(1): 38.
[14] 李泽宏, 张玲玉, 胡蝶, 等. 基于AHP-TOPSIS方法的智能液压设备设计评价研究[J]. 包装工程, 2023, 44(14): 83-90.
LI Z H, ZHANG L Y, HU D, et al.Evaluation of Intelligent Hydraulic Equipment Design Based on AHP- TOPSIS Method[J]. Packaging Engineering, 2023, 44(14): 83-90.
基金
秦地特色文化资源数字化提取与设计研究-省自然科学基金（2023-JC-YB-820）
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