计算机与数字工程2019，Vol.47Issue(8)：1966-1969,4.DOI:10.3969/j.issn.1672-9722.2019.08.025
基于粒子群优化的三维CAD模型相似性评价
Improvement of Similarity Evaluation of 3D CAD Model Based on Particle Swarm Optimization
摘要
Abstract
In order to accurately measure the shape difference of the CAD model to better realize multi-granularity and intelli?gent reuse requirements,a similarity evaluation algorithm for 3D CAD model based on particle swarm optimization is proposed. The similarity evaluation matrix from the number of edges that make up each face of the two models to be evaluated is constructed firstly, and then using that matrix as the descriptive body,the surface optimal matching sequence of the two models is searched through the particle swarm optimization algorithm. Finally,based on the searched optimal surface sequence,the surface similarity is extracted and calculated,and then the overall similarity evaluation of the two models is realized. Experimental results based on the general ESB model library show that,compared with the existing algorithms,the proposed algorithm can better evaluate the similarity of 3D models,and facilitate accurate mining of typical structures to support local structural level design reuse of models.关键词
典型结构重用/模型相似性评价/粒子群算法/最优匹配序列Key words
typical structure reuse/model similarity evaluation/particle swarm algorithm/optimal matching sequence分类
信息技术与安全科学引用本文复制引用
韩文军,张苏,李达锋,姚明昇..基于粒子群优化的三维CAD模型相似性评价[J].计算机与数字工程,2019,47(8):1966-1969,4.基金项目
国网经济技术研究院有限公司自主投入科技项目(编号:ZZKJ-2018-15) （编号:ZZKJ-2018-15）
国家自然科学基金(编号:61202286)资助. （编号:61202286）
