基于免疫遗传算法的工程图自动调优技术

图学学报

基于免疫遗传算法的工程图自动调优技术

出版日期:2013-04-30 发布日期:2015-06-11

Drawing Automatic Generation and Optimization based on Immune Genetic Algorithm

Online:2013-04-30 Published:2015-06-11

摘要/Abstract

摘要： ：针对目前三维模型参数化变型后，工程图自动生成方法中出现的视图布局
不合理、比例失调、标注混乱等问题，及现有调图技术的局限性，论文提出采用免疫遗传算
法对工程图进行优化调整。实现了基于模板参数化驱动后工程图的自动更新与视图布局、视
图比例及其各种标注位置等的优化调整。实验证明该方法可以实现智能化快速出图，保证设
计的准确性，提高设计效率和质量。

关键词: 参数化变型设计, 免疫遗传算法, 工程图自动调优, 智能化快速出图

Abstract: In current three-dimensional model parametric variations, there exist the problems
of unreasonable view layout ,imbalance, and marked confusion after drawings change, and also
the technical limitations of adjustment. In this paper, the immune genetic algorithm is used in
drawings optimization and adjustment. Based on the template parameter driven, it realizes
drawings automatic generation and optimization in view of layout and proportion, and its various
label location. It has been proved that the method can realize intelligent rapid drawing, ensure the
accuracy of the design, and improve design efficiency and quality.

Key words: parametric variant design, immune genetic algorithm, drawing automatic
generation and optimizing, intelligent rapid drawing

朱学敏，王宗彦，杨芬，吴淑芳，陆春月. 基于免疫遗传算法的工程图自动调优技术[J]. 图学学报.

Zhu Xuemin, Wang Zongyan, Yang Fen, Wu Shufang, Lu Chunyue. Drawing Automatic Generation and Optimization based on Immune Genetic Algorithm[J]. Journal of Graphics.