首页|Optimization of Milling Parameter based on Modified Genetic Algorithm
Optimization of Milling Parameter based on Modified Genetic Algorithm
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
Trans Tech Publications Ltd
This article establishes the multi-target optimization model of numerically-controlled milling parameter and illustrates the optimization design and system realization through modified Genetic Algorithm (GA). This system adopts double-breakpoint crossing and self-adaptive mutation and inverse operator through transgenic technology. It improves its local searching ability and calculation speed.
genetic algorithmmilling parameteroptimization
Jingying Zhang、Siqin Pang、Qixun Yu
展开 >
School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China, 100081