PROCESS PLANS DECISION-MAKING BASED ON BP NEURAL NETWORK AND GENETIC ALGORITHM
In order to improve intellectuality and performability of Computer-aided Process Planning system, the status and capability of manufacturing resource in the job-shop should be considered, and the sequencing decision of process plans should be realized under the relevant constraints. In this paper, BP Neural Network was applied to select the manufacturing resources in the process of generating process plans. During sequencing process routes, the choices of the manufacturing operations, machines and cutters were decided at the same time, then the optimization decision for process plans was obtained by the operators of Genetic Algorithm, such as duplication, crossover and variation. The results showed that the selection of manufacturing resources and the optimization decision of process plans were implemented effectively by BP Neural Network and Genetic Algorithm, the optimal or sub-optimal process plan satisfied the production requirements was obtained. Based on an illustrative example, the process of selecting the interrelated machines and deciding the operations sequence was described in detail.
Computer-aided process planning BP Neural Network Genetic algorithm Resource decision Operation sequence
ZHONG-BIN WANG YU-LIU CHEN
College of Mechanical and Electrical Engineering, China University of Mining and Technology, Xuzhou CIMS Engineering Research Center, Department of Automation of Tsinghua University, Beijing 100084, C
国际会议
2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)
昆明
英文
1363-1368
2008-07-12（万方平台首次上网日期，不代表论文的发表时间）