摘要
针对某汽车减速箱装配厂零部件运输成本高、路径长的问题,运用蚁群算法对零部件运输路径进行优化。以运输长度为目标函数,划定坐标系,明确各零部件分厂所在坐标,并引入一种蚁群算法对路径进行优化。Matlab仿真结果表明,算法优化后运输长度较原先减少10.88%。
Aiming at the high cost and long path of parts transportation in assembly plant of automobile gearbox,ant colony algorithm was used to optimize the parts transportation path.Using the transport length as an objective function,the coordinate system is delineated,the coordinates of each component factory are defined,and an ant colony algorithm is introduced to optimize the path.Matlab simulation results show that the transport length is reduced by 10.88% compared with original optimization.
作者
金杜挺
郁元正
JIN Du-ting;YU Yuan-zheng(Zhejiang Institute of Mechanical&Electrical Engineering,Hangzhou 310051,China)
出处
《内燃机与配件》
2019年第14期210-212,共3页
Internal Combustion Engine & Parts
关键词
蚁群算法
路径优化
仿真
colony algorithm
path optimization
simulation
