华中科技大学学报（自然科学版）2024，Vol.52Issue(11)：8-14,7.DOI:10.13245/j.hust.241102
一种原理图美观度等级评价算法
An algorithm for evaluating aesthetic quality level of schematic diagrams
摘要
Abstract
To address the problem of the lack of quantitative indicators for evaluating the quality of generated schematic diagrams from the perspective of circuit designers,a schematic aesthetics evaluation(SAE)metric was proposed.To quantify the SAE,the original layout wiring schematic diagram was divided into multiple subgraphs using a sliding window strategy,and the subgraph features were automatically extracted using the Laplacian convolution kernel.Then,the principal component analysis method was introduced to automatically reduce the dimensionality of the subgraph feature vectors.Furthermore,the genetic clustering algorithm was employed to automatically search for the central subgraph based on the subgraph feature vectors.Finally,a pre-trained residual neural network was used to predict the aesthetic level of the central subgraph,and the final aesthetic level was obtained based on the different aggregation rules.Experimental results show that under four different aggregation rules,the proposed DeepSAE algorithm achieves the highest accuracy ratios of 0.677,0.953,0.734,and 0.953,respectively.关键词
电路自动化设计技术/电路布局布线原理图/原理图美观度评价/卷积神经网络/遗传聚类算法Key words
electronic design automation/circuit layout and routing schematics/schematic aesthetics evaluation/convolutional neural networks/genetic clustering algorithm分类
信息技术与安全科学引用本文复制引用
孙辉,丁延峰,王刚,李桢荣..一种原理图美观度等级评价算法[J].华中科技大学学报（自然科学版）,2024,52(11):8-14,7.基金项目
国家自然科学基金资助项目(62141412,62272253,62272252). （62141412,62272253,62272252）
