Product innovation design method based on combination of situation and genetic algorithm optimization

In view of the more and more personalized demand of consumers in product design, a new product innovation design method which can realize personalized design based on situation and genetic algorithm optimization is explored in this paper. Taking bicycle as an example, the user requirement model is established using the situational story method to excavate the user's explicit and recessive demand. By analyzing the functional principle of the existing bicycle-related products, the function element is synthesized by using morphological matrix. MATLAB and the quantitative theory I are used to construct the weight relation between the main design elements and the evaluation index of the representative sample, which obtains the contribution degree of each design category to each evaluation index, as well as the partial correlation coefficient., Finally, the optimal combination scheme is optimized by the genetic algorithm and the three-dimensional shape of bicycle is designed.