摘要
选取汽车造型基因典型元素——造型特征线为研究对象,基于遗传算法提出用户期望意象驱动的汽车造型基因进化思想和方法流程。通过调研和标杆车分析获取用户期望意象形容词,经过聚类分析得到关键意象词汇并将其量化表征。选取汽车侧面轮廓线作为研究对象,利用贝塞尔曲线将其量化描述。从多种途径选取符合用户期望意象的进化计算初始种群案例样本,并进行基因型转化。为保证造型基因进化一直处于用户期望意象引导下,基于用户期望意象形容词构建人工适应度评估机制。进行交叉、变异操作,获得符合用户期望意象的造型基因进化子代种群,从而实现了基于用户期望意象驱动的造型基因进化目标,并以此指导后期汽车造型设计。以微型汽车造型基因进化设计为例,证明了该方法的合理性和可行性。
The styling feature line,a typical element of automobile styling gene,is selected as research object.Based on genetic algorithm,the thought and method flow of automobile styling gene evolution driven by users＇ expectation image is proposed.The adjectives of users＇ expectation image are obtained through investigation and benchmark automobile analysis.The key image words are obtained through cluster analysis and characterized quantitatively.Automobile side profile line is taken as research object and described quantitatively by using Bezier curves.The case samples of initial population that satisfy the users＇ expectation image are obtained through several methods and they are translated to genotype.After constructing the mechanism of artificial fitness evaluation based on the users＇ expectation image adjectives,the progeny populations according with users＇ expectation image are obtained through crossover and mutation operations.Thus the target of automobile styling gene evolution driven by users＇ expectation image is attained.A case of two-box mini auto styling evolution design is given,which demonstrates that the method is rational and feasible..
出处
《机械工程学报》
EI
CAS
CSCD
北大核心
2011年第16期176-181,共6页
Journal of Mechanical Engineering
基金
南京航空航天大学引进人才科研启动经费课题资助项目(1005-56YAH11016)
关键词
汽车造型
造型基因
期望意象形容词
进化
遗传算法
Automobile styling Styling gene Expectation image adjective Evolution Genetic algorithm
