配色设计智能优化的非随机种群方法  

Non-random population method for intelligent optimization of color matching design

作　　者：刘肖健 彭程 吕芸芸 LIU Xiao-jian;PENG Cheng;LV Yun-yun(Industrial Design Institute,Zhejiang University of Technology,Hangzhou Zhejiang 310023,China)

机构地区：[1]浙江工业大学工业设计研究院,浙江杭州310023

出　　处：《图学学报》2021年第6期1035-1042,共8页Journal of Graphics

基　　金：国家社科基金艺术学重大项目(20ZD09)。

摘　　要：配色设计优化方法在形成最终方案时经常面临收敛困难,因为设计师对配色方案的评价进入了不稳定状态,难以在细微差异的方案之间做出准确选择。因此优化方法在完成大规模搜索后,最终的收敛阶段一般仍需设计师手工微调完成。这一阶段显著拉低了整个优化过程的效率。面向图库色彩意象再现的需求,针对交互式遗传算法的收敛阶段开发了基于连续插值的非随机种群生成技术,辅助计师实现快速微调并输出终稿。基于平面设计软件开发了原型系统,给出了基于RGB和HSB色彩空间的2种变异操作,以及多方案融合的交叉操作3种非随机种群生成方法,使设计师在色彩差异上有更直观的视觉感受,更为快捷地遴选方案,提升设计师使用的交互体验。以电竞椅的配色优化设计为案例进行了应用验证。The optimization method of color matching design often faces convergence difficulties during the formation of the final scheme,because the designer’s evaluation usually enters an unstable state,which makes it difficult to accurately choose among the slightly different schemes.Thus,after the optimization method has completed the large-scale search,the final convergence stage generally still needs the designer to do the manual fine-tuning,which significantly lowers the efficiency of the whole optimization process.A non-random population generation technique based on continuous interpolation was developed for the convergence stage of interactive genetic algorithm to meet the demand of color image reproduction,which can assist designers to realize rapid fine-tuning and output the final design.A prototype system was developed based on graphic design software,in which two kinds of variation operations based on RGB and HSB color spaces and a multi-scheme fusion of crossover operation were given as three kinds of non-random population generation methods.It enabled designers to have a more intuitive visual perception on the color difference,to select schemes more quickly,and to improve the interactive experience of designers as users.The application is verified by the case of color matching design of e-sports chairs.

关 键 词：配色设计 交互式优化 非随机种群 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]