基于交互式遗传算法的Polo衫快速款式推荐系统

针对服装虚拟设计与定制时专业知识门槛较高,无法高效获得心仪定制款式的问题,以Polo衫为例,对其进行部件化的三维模型设计,并对其条纹针织面料外观进行虚拟设计,建立Polo衫设计部件数据库.此外,引入优化的交互式遗传算法,使用基于款式部件相似度的适应值加权分配策略,通过编码、初始种群生成、适应度计算、选择、子染色体偏好固...

Polo shirt rapid style recommendation system based on interactive genetic algorithm

Because of the high threshold of professional knowledge in the virtual design and customization of clothing,customers are not able to obtain their favorite customized styles efficiently.Taking the Polo shirt as an example,the research reported in this paper designed a componentized 3-D model of the Polo shirt and the appearance of its striped knitted fabric,and established a database of Polo shirt design components.The research worked out an optimized interactive genetic algorithm,and an adaptive weighted allocation strategy was used based on similarity.Through algorithm coding,initial population generation,using genetic similarity to obtain individual fitness,selection,subchromosome preference fixation or elimination,crossover and mutation,a style recommendation system,which gradually generate user-satisfied Polo shirt style model design schemes,was established.It was verified that with the increase of evolutionary generation,the maximum fitness value and average fitness value of the population increase.While ensuring a certain search space,it is gradually inclined to the psychological preferences of users,and users can gradually search for more preferred design solutions to achieve user-oriented personalized quick style generation and recommendation of Polo shirts.