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立足于用户感性需求,引入复杂网络概念,借鉴生物信息学中蛋白质互作网络构建的理论和方法,针对性地构建意象相关的产品形态基因网络;以无标度网络拓扑分析理论为基础理解产品形态基因网络的组织结构以及动态性,识别并预测产品形态基因网络中的意象靶基因与优选基因组合,作为析出知识供设计师规划设计活动。以汽车侧轮廓的设计为例,基于形状文法理论开发了智能优化设计引擎,利用析出知识简化编码信息、优化求解顺序,验证了意象驱动的产品形态基因网络对设计的有效辅助作用.
Based on the perceptual needs of users, the concept of complex network is introduced, and the theory and method of constructing protein interaction networks in bioinformatics are used to construct image networks of product related morphological genes. The product is based on scale-free network topology analysis theory Organizational structure and dynamics of morphological gene networks identify and predict the target genes and the preferred gene combinations in the network of morphological genes in the product as a knowledge for the designer to plan and design activities. Taking the design of vehicle side profile as an example, an intelligent optimization design engine was developed based on the shape grammar theory, which simplified the coding information and the order of optimization by using knowledge of precipitation, and validated the image-driven product morphological gene network as an effective aid to the design.