This study focused on investigating the surface roughness in the feed direction (R_a-Fd), surface roughness in the transverse direction (R_a-Td), and thin-walled parts deformation (TWD) during milling of Al alloy 5083. The response surface method (RSM) was used to conduct experiments and establish the models of R_a-Fd, R_a-Td, and TWD under various cutting parameters. The significance of cutting parameters on R_a-Fd, R_a-Td, and TWD was analyzed by analysis of variance. It was observed that the R_a-Fd and R_a-Td are mainly influenced by the spindle speed, depth of cut, transverse size and feed rate, while the TWD is mainly influenced by the depth of cut. A comparison of RSM-optimum function and artificial bee colony (ABC) algorithm optimum programming was conducted to obtain the best cutting conditions leading to minimum R_a-Fd, R_a-Td and TWD simultaneously. From the presented results, ABC algorithm was able to obtain the better cutting strategy. Finally, the performance of the proposed cutting strategy was verified by confirmation experiments.

该研究集中于进给方向调查表面粗糙度（ř_一个-Fd），表面粗糙度在横向方向上（ř_一个-Td的Al的研磨过程中），和薄壁零件变形（TWD）合金5083的响应使用表面方法（RSM）进行实验，建立的模型ř_一个-Fd，ř_一个-Td，和TWD下各种切割参数。上切削参数的意义ř_一个-Fd，ř_一个-Td，和TWD通过方差分析。据观察，R _a-fd和ř_一个-Td主要由主轴速度，剪切，横尺寸和进料速率的影响深度，而TWD主要由切削深度的影响。比较了RSM优化功能和人工蜂群（ABC）算法的最佳编程，从而获得了最佳切割条件，从而使R _a -Fd，R _a -Td和TWD最小。从提出的结果来看，ABC算法能够获得更好的切割策略。最后，通过确认实验验证了所提出的切割策略的性能。