面向复合意象的产品形态多目标优化

为了使产品开发人员和企业开发新产品时符合用户的多维度感性需求，提出了一种面向用户复合意象的产品形态多目标优化设计方法。首先，应用语义差异评价和因子分析法抽取用户的复合意象维度；然后，采用形态分析法提取产品部件和外形单元要素；最后，在构建产品形态的BP意象预测模型的基础上，采用多目标遗传算法NSGAII求解最优方案。豆浆机实例表明，该方法适用于复合意象的产品形态优化设计，成功得到分布均匀的Pareto最优解，产品开发者可根据具体情况在多个目标之间交互选择优化方案，具有很好的指导作用和实际应用价值。

Multi-objective Optimization Method of Composite Imagery-oriented Product Form

To help the product development team satisfy consumer perceptions when they designed new product,a  composite imagery oriented multi-objective optimization model for product form design was proposed.Firstly,composite imagery were elicited by semantic  differential(SD) and factor analysis(FA).Secondly,components and candidate elements of product were extracted by morphological analysis(MA).Constructing  BP  neural network between imagery and form feature，the multi-objective  genetic algorithmⅡ(NSGAⅡ) was employed to search Pareto optimum finally.Results  of soymilk machine case show  that  Pareto optimum distribute uniformly,product developer  can   select  optimization solutions with multiple objective interactively for specific circumstances, and the proposed method has a good directive function and practical value in product design area.