微型电脑应用2023，Vol.39Issue(12)：130-134,5.
基于改进TCNN算法的电子组装路径优化研究
Research on Electronic Assembly Path Optimization Based on Improved TCNN Algorithm
夏威1
作者信息
- 1. 惠州市技师学院,电子工程系,广东,惠州 516000
- 折叠
摘要
Abstract
Electronic assembly is an important way to continuously improve the efficiency of electronic assembly.The traditional electronic assembly path optimization algorithm is ACO algorithm.However,the efficiency of ACO algorithm is low,and gradually it cannot meet the needs of solving the electronic assembly path optimization problem with larger and larger scale.This paper proposes an efficient TCNN algorithm for electronic assembly path optimization,and adopts parallelization strategy and divide and conquer strategy to optimize it,so as to further improve the efficiency and accuracy of TCNN algorithm.The ex-perimental results show that the efficiency of the improved TCNN algorithm is much higher than that of ACO algorithm,and the optimization ratio is only 2.4％lower than that of ACO algorithm.To sum up,the improved TCNN algorithm can better meet the needs of large-scale electronic assembly path optimization than ACO algorithm.关键词
TCNN算法/电子组装/分治策略/路径优化Key words
TCNN algorithm/electronic assembly/dividing and conquer strategy/path optimization分类
信息技术与安全科学引用本文复制引用
夏威..基于改进TCNN算法的电子组装路径优化研究[J].微型电脑应用,2023,39(12):130-134,5.
