Cultural Product Appearance Design Based on Improved Multiobjective Optimization Algorithm

Abstract

Cultural creative products are important carriers of cultural heritage and play a very important role in the inheritance, innovation, and dissemination of culture. At present, cultural and creative products emerge in an endless stream with a variety of patterns. No matter in function or form, most of them still follow the traditional design method, and the product style is relatively single, the identification is not strong, and the heat is not enough. Therefore, in the design of cultural and creative products, it is far from meeting the requirements of the flexible and changeable market to only use culture to conform to the consideration of product form. Instead, it should also take into account the personalized and diversified needs of users for products and carry out in-depth practical research on their functionality and imagery. Therefore, this study proposes an improved multiobjective optimization algorithm, combined with the VGG (visual geometry group) model, to study and design the appearance characteristics, color collocation, and design aesthetic feeling of cultural and creative products. This study hopes that through the continuous attempts of cultural and creative product design, people can feel the splendid cultural connotation civilization again and provide new ideas and good for the advanced theme design of traditional Chinese culture.

Product Appearance Aesthetics in Industrial Design Based on Variational Onsager Neural Network Optimized with Osprey Optimization Algorithm

“…Underwater fishes are considered in OOA design for each osprey's position in search space with greater objective function value. Each osprey's fish set is configured as given in equation (21),…”

“…Numerous research studies were suggested in the literatures were depend on Product Appearance Aesthetics in Industrial Design; few of them were reviewed here, Zhu and Han [21] have presented cultural product appearance design based on improved multi objective optimization method. The presented paper suggests a multi objective optimisation method that uses the VGG model to investigate and develop the look, colour coordination, and aesthetics of cultural and creative items.…”

“…Figure 3 to 7determines stimulation results of PAAID-VONN-OOA proposed method. Then, the proposed VONN-AHA-BA-TPI is compared to existing PAAID-ETT [21], PAAID-SVM [22], and PAAID-DCNN [23] techniques respectively. Figure 7 shows F1-score analysis.…”