An Intelligent Designing Approach for Personalized Products Using Product Gene

Abstract

The demand for product design has risen as new technologies such as big data and cyber-physical systems (CPSs) emerge. Digital product design entails employing modern digital technology to complete the product design process. In the contemporary world, the trend of consumers’ preference for customized design products is rising exponentially. To meet this demand, the product evolutionary design approach is used in this paper. It is based on user preferences by realizing the personalized intelligent design of products. For instance, if one takes the example of table lamps, based on the method of parametric modeling, the parameters of shape and material are used as product genes for chromosome coding. In our proposed approach, the multiobjective bee colony interactive evolutionary algorithm (MBCIEA) is used to build the table lamp evolution system by relying on the color harmony theory. To evolve the design scheme, the user choice is employed as the fitness value. The findings of a comparative experiment between this technique and the existing schemes suggest that this method may let users engage more effectively in collaborative design and achieve a good customized design scheme.