An Algorithm of Machining Process Planning Based on Improved Ant Colony System

被引：0
|
作者：
Zhang, Xu-tang [1 ]
Zhuang, Ting [1 ]
Zhang, Bo [1 ]
Chen, Xiao-feng [1 ]
机构：
[1] Harbin Inst Technol, Sch Mechatron Engn, Harbin 150006, Peoples R China
来源：
2013 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE (ICCSAI 2013) | 2013年
关键词：
machining process planning; distance of process units; improved ant colony system;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In order to enhance the competitiveness of manufacturing enterprises, this paper proposed a machining process planning method based on improved Ant Colony System. The concept of distance between process units was defined. Thus, the machining process planning transformed into the problem of searching optimum path. To address the shortcomings of ant colony system, low convergence speed and easy to traps into local optimization, an adaptive selection mechanism of pheromone evaporation factor was designed, so that the improved Ant Colony System can search optimal solution in the global with higher convergence speed. Finally, the effectiveness of the proposed planning method was verified by simulation.
引用
收藏
页码：225 / 229
页数：5
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