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基于GA-SA混合寻优算法的CAPP与PPC集成原理研究
引用本文:朱春耕.基于GA-SA混合寻优算法的CAPP与PPC集成原理研究[J].制造业自动化,2007,29(1):58-61.
作者姓名:朱春耕
作者单位:浙江师范大学,浙江,金华,321019
基金项目:浙江省教育厅课题(20050273),浙江师范大学校级一般项目(KYJ05Y05097)
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。

关 键 词:CAPP  PPC  遗传算法  模拟退火  集成原理
文章编号:1009-0134(2007)01-0058-04
修稿时间:2006-09-08

A study of the integration principle of CAPP and PPC based on GA-SA hybird algorithm
ZHU Chun-geng.A study of the integration principle of CAPP and PPC based on GA-SA hybird algorithm[J].Manufacturing Automation,2007,29(1):58-61.
Authors:ZHU Chun-geng
Affiliation:Zhejiang Normal University, Transportation College, Zhejiang Jinhua 321019, China
Abstract: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.
Keywords:Computer Aided Process Planning  Production Planning and Control  genetic algorithms  simulated annealing  integration principle
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