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基于遗传算法的模具异地制造的优化调度
引用本文:于华,隋杰,焦建彬,高国安.基于遗传算法的模具异地制造的优化调度[J].计算机集成制造系统,2001,7(1):51-54.
作者姓名:于华  隋杰  焦建彬  高国安
作者单位:哈尔滨工业大学现代生产技术中心,
基金项目:国家863/CIMS主题资助项目! (86 3-5 11-943-0 15 )
摘    要:研究了模具异地制造的调度问题,建立了模具异地制造调度的最小模型,利用遗传退火算法实现了调度决策的优化,并提出了将遗传退火算法和分派规则相结合的调度策略和动态编码的方法,可提高搜索效率和速度,保证其全局收敛性。经调度实例验证表明,该算法能够提供了较为合理的调度方案。

关 键 词:遗传算法  分派规则  模具  异地制造  优化调度
文章编号:1006-5911(2001)01-0051-04
修稿时间:1999年11月22

A Optimal Scheduling of the Mold Manufacturing on Different Places Based on Genetic Algorithms
YU Hua,SUI Jie,JIAO Jian-bin,GAO Guo-an.A Optimal Scheduling of the Mold Manufacturing on Different Places Based on Genetic Algorithms[J].Computer Integrated Manufacturing Systems,2001,7(1):51-54.
Authors:YU Hua  SUI Jie  JIAO Jian-bin  GAO Guo-an
Abstract:The scheduling problem of the mold manufacturing on different places is studied, and the minimal module of it is built. The genetic annealing evolutionary algorithms are applied to realize the optimization of scheduling decisions. The scheduling strategy which marries genetic annealing evolutionary algorithms with the dispatching rules and the method of dynamic coding are proposed. It improves the search efficiency and convergence velocity and assures the globe convergence of the algorithm. The result of the scheduling example indicates that the algorithms can present reasonable scheduling scheme.
Keywords:genetic algorithms  dispatching rules  dynamic coding
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