Research on Product Style Design Based on Genetic Algorithm

To satisfy the differentiated requirements of different user groups and even individuals needs abundant design solutions, leading to a significant increase in design time and labor costs. Through the interactive evolutionary algorithm, a new product intelligent design method is proposed to solve the problem of intelligent generation of batched appearance design schemes, and the design scheme “population” that matches the target style image is directly obtained. First, model the stylized parameters of the product. Then, a neural network is used to establish a mapping model of the style image space and the appearance parameters of the product. Finally, through the collaborative evolution mechanism, the intelligent generation of product design solutions is realized. The results show that this method greatly eases the evaluation fatigue problem in evolutionary calculations while obtaining the target style product design scheme.