基于改进遗传算法的装配序列优化  

Assembly Sequence Optimization based on Improved Genetic Algorithm

作　　者：杨威[1] 孟冠军[1] 曹文钢[1] 谢坤峰[1] 于鹏飞[1] 

机构地区：[1]合肥工业大学机械与汽车工程学院,安徽合肥230009

出　　处：《机械传动》2016年第9期67-70,共4页Journal of Mechanical Transmission

基　　金：国家科技支撑计划项目(2013BAE02B03)

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。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 

分 类 号：TG95[金属学及工艺—钳工工艺] TP18[自动化与计算机技术—控制理论与控制工程]