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

Abstract

Abstract:

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.

Key words: composite imagery, product design, multiple objective , optimization;back , propagation(BP) , neural network

摘要：

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。

关键词: 复合意象, 产品设计, 多目标优化, BP网络

CLC Number:

TH166
TH39

Chen Guodong, Chen Siyu, Wang Jun, Sun Shouqian, Ni Yihua. Multi-objective Optimization Method of Composite Imagery-oriented Product Form[J]. China Mechanical Engineering, 2015, 26(20): 2763-2770.

陈国东, 陈思宇, 王军, 孙守迁, 倪益华. 面向复合意象的产品形态多目标优化[J]. 中国机械工程, 2015, 26(20): 2763-2770.

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

面向复合意象的产品形态多目标优化

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