Hierarchical Design of Image Elements Based on Interactive Genetic Algorithm

To reduce user fatigue caused by interactive design of traditional vase shapes and improve design efficiency, this study proposes an improved interactive genetic algorithm based on collaborative evaluation model. Given this, an interactive design model for vase shape is constructed using an improved interactive genetic algorithm. Empirical analysis of the interactive design model for the vase design found that the number of evaluated individuals in the model was 48, and the running time was 302.7 seconds, which is lower than the comparison model. The fitness of this model was 7.8, with an average satisfaction score of 8.8, which is higher than the comparison model. In conclusion, the objective of the study is to develop a novel collaborative evaluation mechanism and demonstrate its efficacy in the context of vase design. This approach not only simplifies the operational complexity for users, but also enhances the efficiency of the design process and the quality of the output. Furthermore, the interactive design model for vase modeling proposed in the study provides a significant theoretical and practical foundation for fostering innovation and practice in the field of image design, with the potential for broad applicability to other product design domains.