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基于TPN模型的间歇过程GA优化调度方法研究
引用本文:刘振娟,马强.基于TPN模型的间歇过程GA优化调度方法研究[J].化工自动化及仪表,2010,37(12):31-34.
作者姓名:刘振娟  马强
作者单位:北京化工大学信息科学与技术学院,北京100029
摘    要:为了建立间歇工业过程的优化调度策略,研究了采用TPN(赋时Petri网)建立其生产调度模型的方法,并提出了基于GA(遗传算法)对此TPN调度模型进行优化的技术。论文引入了一个青霉素发酵间歇过程的仿真平台,以此为实例对象,讨论了TPN调度建模及GA优化的具体步骤,给出了满意的优化调度计算结果。

关 键 词:间歇过程  优化调度  GA  Petri网

Study on TPN Model Based GA Scheduling Optimization of Batch Processes
LIU Zhen-juan,MA Qiang.Study on TPN Model Based GA Scheduling Optimization of Batch Processes[J].Control and Instruments In Chemical Industry,2010,37(12):31-34.
Authors:LIU Zhen-juan  MA Qiang
Affiliation:(School of Information Science and Technology,Beijing University of Chemical Technology,Beijing 100029,China)
Abstract:To achieve optimal scheduling strategies of industrial batch processes,timed Petri net(TPN) schedule model development techniques were investigated,along with a genetic algorithm(GA) approach concerning TPN model based optimizations.Additionally,a fed-batch penicillin cultivation simulator was introduced,on which the detailed methodological procedures were discussed,with the satisfying optimal scheduling results available.
Keywords:batch process  optimized scheduling  genetic algorithm  Petri net
本文献已被 CNKI 维普 万方数据 等数据库收录!
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