基于遗传算法投影寻踪模型的智能制造能力评价——以中国31个省市区数据为例

Evaluation of Intelligent Manufacturing Capability Based on Projection Pursuit Model of Genetic Algorithm—Data from 31 Provinces and Cities in China

采用实码的加速遗传算法投影寻踪(RAGA-PP)模型,实现线性投影降维,构建了智能制造能力评价指标体系。本文选取2018年我国31个省级行政区的多指标截面数据,根据线性投影值进行层次聚类,在此基础上分区域对我国省域智能制造能力进行分析,提出了推动我国智能制造能力提升的对策建议。

The evaluation index system of intelligent manufacturing capability is constructed. The multi-indexcross-sectional data of 31 provincial administrative regions in China in 2018 are selected, and the Real CodeAccelerated Genetic Algorithm Projection Pursuit (RAGA-PP) model is used to realize linear projectiondimension reduction. According to the linear projection values, hierarchical clustering is carried out, and onthis basis, the province-level intelligent manufacturing capability of our country is analyzed by regions, andthe countermeasures and suggestions to promote the improvement of our country's intelligent manufacturingcapability are put forward.