Optimization of Process Route by Genetic Algorithms(GAs)

摘要：

Optimization of process route is very complex and difficult in CAPP. Based on the analysis of part surface and constraints mong the surface, a GA is applied to optimization of process route. Process route is optimized using the reasonable coding strategy, objective function, operators of selection, crossover and mutation. An application sample is developed to illuminate the process of optimization of process route by GAs. The results show that the algorithm can obtain optimal or nearoptimal process route which meets specific production requirements.

关键词： computer-aided process planning(CAPP) process routing genetic algorithm decision and optimization

作者: JinFeng Wang XiaoLiang Fan

作者单位: Departmeng of Mechanical Engineering, North China Electric Power University, Baoding, China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Automation Engineering(ICCAE 2011)(2011年第三届IEEE计算机与自动化工程国际会议)

会议地点: 重庆

会议语种:英文

页码: 1-4

在线出版日期: 2011-01-21（万方平台首次上网日期，不代表论文的发表时间）