Multi-objective Decision and Optimization of Process Routing Based on Genetic Algorithm(GA)

被引：6
|
作者：
Fan, ShunCheng [1 ]
Wang, JinFeng [1 ]
机构：
[1] Hebei Univ Technol Tianjin, Sch Mech Engn, Tianjin, Peoples R China
来源：
ADVANCED MATERIALS AND ENGINEERING MATERIALS, PTS 1 AND 2 | 2012年 / 457-458卷
关键词：
Computer aided process planning(CAPP); Process routing; Genetic algorithm; Optimization;
D O I：
10.4028/www.scientific.net/AMR.457-458.1494
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Based on the previous research on decision and optimization of process routing,this paper analyzes the characteristic of process knowledge, establishes the representation methods of process knowledge based on feature. According to the constraints mong process knowledge, decision space of process routing based on process constraints is constructed which improved search efficiency of GA. In allusion to the uncertainty of decision of process routing, the multi-objective optimization function is established, and GA is applied to decision and optimization of process routing. Process routing is optimized using the reasonable coding strategy,objective function, crossover and mutation algorithm. An case is offered to illustrate the process of decision and optimization of process routing based on GA.
引用
收藏
页码：1494 / 1498
页数：5
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