文献类型：期刊文献

英文题名：A furniture design assistance method based on spatiotemporal graph neural networks and multi-objective optimisation

作者：Wei, Tiande[1]

机构：[1] Zhongge Art College, Guangdong Ocean University, Zhanjiang, 524088, China

年份：2025

卷号：26

期号：40

起止页码：34

外文期刊名：International Journal of Information and Communication Technology

收录：EI(收录号：20254719520154)、Scopus(收录号：2-s2.0-105021862215)

语种：英文

外文关键词：Computer aided design - Design aids - Furniture manufacture - Multiobjective optimization - Neural networks - Stability - Structural optimization

外文摘要：This paper suggests a furniture design assistance method (FD-STGMO) based on spatial-temporal graph neural network (ST-GNN) and multi-objective optimisation to help with the problem of balancing the structural complexity and multi-objective optimisation needs in the furniture design process. The technique first employs ST-GNN to find structural change features. Then, it uses multi-objective optimisation algorithms to come up with design solutions. Finally, it builds a collaborative end-to-end design support system. The performance comparison tests done on the simulation dataset all show that the new FD-STGMO method is better than the old one in four areas: structural stability (0.84), material utilisation (0.88), functional adaptability (0.80), and aesthetics score (0.85). The findings of the modular contribution analysis experiments show that FD-STGMO has good potential for use in engineering and business. Copyright ? 2025 Inderscience Enterprises Ltd.