Optimization of Milling Parameter based on Modified Genetic Algorithm

被引：1

作者：

Zhang, Jingying ^{[1
]}

Pang, Siqin ^{[1
]}

Yu, Qixun ^{[1
]}

机构：

[1] Beijing Inst Technol, Sch Mech Engn, Beijing 100081, Peoples R China

来源：

MACHINING AND ADVANCED MANUFACTURING TECHNOLOGY X | 2010年 / 431-432卷

关键词：

Genetic Algorithm; Milling Parameter; Optimization;

D O I：

10.4028/www.scientific.net/KEM.431-432.531

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

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.

引用

页码：531 / 534

页数：4