Assembly Sequence Optimization based on Improved Genetic Algorithm

Yang Wei; Meng Guanjun; Cao Wengang; Xie Kunfeng; Yu Pengfei

doi:10.16578/j.issn.1004.2539.2016.09.014

您当前的位置：

首页 >

文章列表页 >

Assembly Sequence Optimization based on Improved Genetic Algorithm

更新时间：2022-10-20

- Assembly Sequence Optimization based on Improved Genetic Algorithm
- Vol. 40, Issue 9, Pages: 67-70(2016)
- 作者机构：
  
  1. 合肥工业大学机械与汽车工程学院
- 作者简介：
- 基金信息：
- DOI：10.16578/j.issn.1004.2539.2016.09.014
  CLC：
扫描看全文
[1]杨威,孟冠军,曹文钢,谢坤峰,于鹏飞.基于改进遗传算法的装配序列优化[J].机械传动,2016,40(09):67-70.

Yang Wei, Meng Guanjun, Cao Wengang, et al. Assembly Sequence Optimization based on Improved Genetic Algorithm. [J]. 40(9):67-70(2016)
[1]杨威,孟冠军,曹文钢,谢坤峰,于鹏飞.基于改进遗传算法的装配序列优化[J].机械传动,2016,40(09):67-70. DOI： 10.16578/j.issn.1004.2539.2016.09.014.

Yang Wei, Meng Guanjun, Cao Wengang, et al. Assembly Sequence Optimization based on Improved Genetic Algorithm. [J]. 40(9):67-70(2016) DOI： 10.16578/j.issn.1004.2539.2016.09.014.

摘要

针对机械产品的装配序列优化问题,利用产品装配优先关联矩阵,生成可行装配序列作为初始种群。在遗传算法中加入参考集,并结合分散搜索算法的"分散,收敛,集聚"的智能迭代机制,避免了搜索的随机性,以装配的连续性为目标进行优化,不断更新参考集,最终求得最优解。通过特定的交叉和变异使解不断向最优方向发展。最后,以三级减速器为实例分析,验证了改进遗传算法的有效性和可行性。

Abstract

According to the assembly sequence optimization problem of mechanical products,the assembly sequence is used as initial population,and the reference set is added to the genetic algorithm,and the intelligent iterative mechanism of the decentralized search algorithm is used to avoid the random nature of the search.The continuous optimization of the assembly,the optimal solution is obtained. Finally,the effectiveness and feasibility of the improved genetic algorithm is verified through the analysis of the three stage reducer.

关键词

装配序列关联矩阵分散搜索算法遗传算法

Keywords

Assembly sequenceCorrelation matrixScatter search algorithmGenetic algorithm

references

Views

170

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Optimization of Torque Models for Radial Meshing Nutation Magnetic Gears Based on the Genetic Algorithm

Structure Design and Optimization of Self-locking Under-actuated Gripper

Research on Optimization of Gear Micro-modification based Genetic Algorithm

Optimization and Analysis of Double-circular-arc Harmonic Gear based on Genetic Algorithm

Application of GA-ACO Optimized BP Neural Network in Fault Diagnosis of Planetary Gearbox

Related Author

No data

Related Institution

Jinan Power Supply Company of State Grid Shandong Electric Power Company

School of Mechanical Engineering and Automation, Fuzhou University

Department of Mechanical and Electrical Engineering, Fuzhou Polytechnic

Lianyungang Jerry Automation Co.， Ltd.

School of Mechanics and Power Engineering， Jiangsu University of Science and Technology

⁰