改进遗传算法的飞机结构件装配序列优化研究  

Research on Assembly Sequence Optimization of Aircraft Structural Parts Based on Improved Genetic Algorithm

作　　者：陈龑斌 李欢庆 CHEN Yanbin;LI Huanqing(Avic Xi′an Aircraft Industry Group Company Ltd.,Xi′an 710089,China)

机构地区：[1]中航西安飞机工业集团股份有限公司,陕西西安710089

出　　处：《机械制造与自动化》2023年第6期221-225,共5页Machine Building & Automation

基　　金：航空工业西安飞机翼装配厂提质增效项目(JYXMGJ-2022-004)。

摘　　要：为获取最佳的装配序列,提高飞机装配效率,扩展装配序列多样性,设计改进遗传算法的飞机结构件装配序列优化方法,以此作为飞机结构件装配序列优化的评价指标并设计对应的约束条件。依据评价指标及对应的约束条件,建立装配序列优化的目标函数;利用改进遗传算法求解目标函数的解。实验证明:该方法可有效优化装配序列,提高装配效率;在同种群容量时,该方法获取的可行装配序列数量较多,即装配序列多样性较佳,且收敛速度较快。To obtain the best assembly sequence,accelerate the aircraft assembly efficiency and expand the diversity of assembly sequence,an aircraft structure assembly sequence optimization method based on improved genetic algorithm is designed,with which being the evaluation index for the optimization of aircraft structure assembly sequence,the corresponding constraints are designed.According to the evaluation indexes and corresponding constraints,the objective function of assembly sequence optimization is established.The objective function is solved by improved genetic algorithm.The experiments show that the designed method can effectively optimize the assembly sequence,accelerate the aircraft assembly efficiency,and abtain more numbers of feasible assembly sequences in the same group capacity with better diversity of assembly sequences and faster convergence speed.

关 键 词：改进遗传算法 飞机结构件 装配序列优化 装配聚合性 约束条件 模糊集 

分 类 号：V262.41[航空宇航科学与技术—航空宇航制造工程] TP391[自动化与计算机技术—计算机应用技术]