基于蛛网结构的产品意象进化算法研究

Research on product image evolutionary algorithm based on the structure of cobweb

为模拟设计思维、量化意象认知,根据产品意象认知的特点提出主、副意象的概念,并基于自然界中的蛛网结构及其一点受力、多线联动的受力特点构建产品意象蛛网模型,在此基础上形成产品意象进化算法。该算法结合遗传进化算法可以在一定程度上模拟设计思维在产品进化过程中的变化规律,将设计认知网络转化为实际存在的产品意象网络。最后通过实例验证算法的可行性。

In order to simulate the design thinking and quantify the image cognition, puts forward the concept of the principal and the associate image according to the characteristics of the product image cognition, and constructs the product image cobweb model based on the spider web structure and character of external force of single point with multi-line linkage in nature, to form the product image evolution algorithm on this basis. This algorithm, combined with genetic evolution algorithm, can simulate the change of design thinking in the process of product evolution to a certain extent, and transform the cognitive network into the actual product image network. Finally, some examples are given to demonstrate the feasibility of the algorithm.