摘要
目的在用户为中心的汽车设计过程中,为使色彩更符合用户偏好,提出使用粒子群算法(PSO,Particle Swarm Optimization)对多用户偏好进行优化的汽车色彩设计方法。方法应用因子分析建立汽车色彩意象语言坐标空间,并构建用户色彩偏好和色彩样本在多维空间中的坐标映射关系;基于粒子群算法优化面状分布的多用户色彩偏好;并在多维空间中需找与之契合度最高的位置点,从而获得最符合用户偏好的色彩样本,辅助汽车设计师作出色彩决策。结论以两厢家用微型车外饰色彩为例,研究男性和女性的不同色彩偏好,验证此方法的合理性和可行性。
User＇s preference is the center of modern car design activities. In order to make car exterior color more in line with User＇s preference, it proposes a color decision method through optimizing multi-uses＇ preferences using Particle Swarm Optimization（PSO）. Factor analysis and manual dimensionality reduction are used to simplify and construct a mapping coordinate, which provides the correspondences between color words of user preference and car exterior color samples. PSO is used to optimized multi-uses＇ preferences, that are Planar distribution. The optimized multi-uses＇ preferences is input into the mapping coordinate. The nearest color sample position is considered as the needed exterior color matching with multi-uses＇ preferences mostly. A major color decision for micro hatchback car exterior is taken as an ex- ample. By studying different color preferences of men and women, the feasibility and effectiveness of the presented me- thod are demonstrated.
作者
徐秋莹
杨明朗
刘卫东
晏合敏
XU Qiu-ying YANG Ming-lang LIU Wei-dong YAN He-min(Nanehang University, Nanchang 330031, China Nanchang Aviation University, Nanchang 330031, China)
出处
《包装工程》
CAS
CSCD
北大核心
2016年第20期59-64,共6页
Packaging Engineering
基金
国家自然科学基金资助项目(71161018)
