摘要
评述了CAPP和PPC集成原理,在统一资源库的约束条件下,提出了基于GA-SA混合优化策略的CAPP和PPC的集成方法;建立了基于GA-SA算法的算法基本框架、算法模型;通过实例仿真表明,GA-SA混合寻优算法较单一的GA算法具有更好的应用效果。
Researches on the integration principle of CAPP and PPC are reviewed. Based on the restriction of unified resource database, integration technique of CAPP and PPC based on hybrid evolutionary search algorithm which combines a genetic algorithm and a simulated annealing algorithm is proposed. A novel algorithm frame and algorithm model are put up. The results are presented in this paper. The results show that the proposed hybrid algorithm performs better than the genetic algorithm.
出处
《制造业自动化》
北大核心
2007年第1期58-61,共4页
Manufacturing Automation
基金
浙江省教育厅课题(20050273)
浙江师范大学校级一般项目(KYJ05Y05097)
关键词
OAPP
PPC遗传算法
模拟退火
集成原理
Computer Aided Process Planning
Production Planning and Control
genetic algorithms
simulated annealing
integration principle
