Affiliation:
1. School of Physics and Information Engineering, Minnan Normal University, Zhangzhou 363000, China
Abstract
The human–computer interaction attribute of the interactive genetic algorithm (IGA) allows users to participate in the product design process for which the product needs to be evaluated, and requiring a large number of evaluations would lead to user fatigue. To address this issue, this paper utilizes an XGBoost proxy model modified by particle swarm optimization and the graphical interaction mechanism (GIM) to construct an improved interactive genetic algorithm (PXG-IGA), and then the PXG-IGA is applied to 3D vase design. Firstly, the 3D vase shape has been designed by using a bicubic Bézier surface, and the individual genetic code is binary and includes three parts: the vase control points, the vase height, and the texture picture. Secondly, the XGBoost evaluation of the proxy model has been constructed by collecting user online evaluation data, and the particle swarm optimization algorithm has been used to optimize the hyperparameters of XGBoost. Finally, the GIM has been introduced after several generations, allowing users to change product styles independently to better meet users’ expectations. Based on the PXG-IGA, an online 3D vase design platform has been developed and compared to the traditional IGA, KD tree, random forest, and standard XGBoost proxy models. Compared with the traditional IGA, the number of evaluations has been reduced by 58.3% and the evaluation time has been reduced by 46.4%. Compared with other proxy models, the accuracy of predictions has been improved up from 1.3% to 20.2%. To a certain extent, the PXG-IGA reduces users’ operation fatigue and provides new ideas for improving user experience and product design efficiency.
Funder
The Natural Science Foundation of Fujian Province of China
Reference35 articles.
1. Advancing Wound Filling Extraction on 3D Faces: An Auto-Segmentation and Wound Face Regeneration Approach;Nguyen;Comput. Model. Eng. Sci.,2024
2. A Hierarchically Normalized Physics-Informed Neural Network for Solving Differential Equations: Application for Solid Mechanics Problems;Lee;Eng. Appl. Artif. Intell.,2024
3. Degen, H., and Ntoa, S. (July, January June). The Application of Artificial Intelligence Combined with Parametric Digital Design Tools in the Ceramic Modeling Design Process for Beginners—A Geometric Vase as an Example. Proceedings of the Artificial Intelligence in HCI, Washington, DC, USA.
4. Solution to Resolve Cognitive Ambiguity in Interactive Customization of Product Shape;Zeng;Int. J. Comput. Intell. Syst.,2020
5. Application of Interactive Genetic Algorithm to Fashion Design;Kim;Eng. Appl. Artif. Intell.,2000
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献