Product image form optimization design based on genetic algorithm

被引：0

作者：

Xu, Jiang ^{[1
]}

Sun, Shouqian ^{[1
]}

Zhang, Kejun ^{[1
]}

机构：

[1] College of Computer Science and Technology, Zhejiang University

来源：

Jixie Gongcheng Xuebao/Chinese Journal of Mechanical Engineering | 2007年 / 43卷 / 04期

关键词：

Analytic hierarchy process; Genetic algorithm; Product image; Quantification I; Semantic differential method;

D O I：

10.3901/jme.2007.04.053

中图分类号：

学科分类号：

摘要：

Aiming at improving design in an optimal manner, the method of product form image based on genetic algorithm is presented. Firstly, users' implicit product image information are extracted from semantic differential method, product form features acquired through multidimensional scaling and mor- phological analysis. Then the relation between form features and image words are quantified by quantification I. The optimal design is advanced through genetic operation, in which the objective function is decided by analytic hierarchy process. Results of the example in designing mobile phone indicate that this method is reasonable and practical.

引用

页码：53 / 58+64

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