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

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.

关键词： Computer aided process planning(CAPP) Process routing Genetic algorithm Optimization

作者: ShunCheng Fan JinFeng Wang

作者单位: School of Mechanical Engineering Hebei University of Technology Tianjin, China

会议类型: 国际会议

会议名称: 2011 International Conference on Advanced Materials and Engineering Materials(2011先进材料与工程材料国际会议 ICAMEM 2011)

会议地点: 沈阳

会议语种:英文

页码: 1494-1498

在线出版日期: 2011-11-22（万方平台首次上网日期，不代表论文的发表时间）