中文摘要：

为满足消费者对产品造型的感性意象需求,提出了基于支持向量机和粒子群算法的产品意象造型优化设计方法。首先确定目标意象、代表性样本和造型设计参数,进行产品感性意象调查;然后应用支持向量机获得＂造型设计参数-产品感性意象＂之间的映射关系,建立产品造型意象评价系统;最后以代表性样本为初始种群,以意象评价为适应度评估,利用粒子群算法建立产品意象造型优化设计系统。以汽车轮廓优化设计进行实例研究,结果表明该方法较好地模拟了设计思维,可为产品概念设计提供有效的辅助与支持。

英文摘要：

To meet co nsumers′ perceptual image requirements to product form,the method of product image form optimization design based on support vector machine and particle swarm optimization was presented.Firstly,the objective image,the representative samples and the form design parameters were obtained and the product perceptual image was surveyed.Then,the mapped relationship between the form design parameters and the product perceptual image was obtained with support vector machine.The evaluation system of product form image was established.Finally,the representative samples were taken as the initial population and the image evaluation was taken as the fitness,the optimization design system of product image form was established with particle swarm optimization.Taking car outline optimization design as study case,it shows that the method well simulates the design idea and effectivly provides aid and support for the product concept development.