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首页> 外文期刊>International Journal of Simulation Modelling >APPLICATION AND DYNAMIC SIMULATION OF IMPROVED GENETIC ALGORITHM IN PRODUCTION WORKSHOP SCHEDULING
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APPLICATION AND DYNAMIC SIMULATION OF IMPROVED GENETIC ALGORITHM IN PRODUCTION WORKSHOP SCHEDULING

机译：改进遗传算法在生产车间调度中的应用与动态仿真

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摘要

From the point of view of combining theories with practice, in order to better realize the effective management of production workshop scheduling and thus improve the competitiveness of manufacturing enterprises in the market, this study focuses on the simulation of production workshop scheduling based on genetic algorithm. Firstly, the study analyses the concept and characteristics of production workshop scheduling, and then proposes the objective function and scheduling rules of production workshop scheduling; the study also introduces the genetic algorithm to combine the scheduling rules, which are regarded as the genetic gene to realize the optimization of the production scheduling through the simulation calculation; in addition, in order to satisfy the dynamic production environment of manufacturing enterprises, the study put forward a dynamic scheduling model; finally, the dynamic simulation of the production workshop scheduling system is realized through the mixed programming of Matlab and VC. The simulation results show that the dynamic model can reduce the scheduling times and improve the stability of dynamic scheduling, and has a positive guiding significance for the production workshop scheduling of manufacturing enterprises.
机译：从与实践的理论相结合的角度来看，为了更好地实现生产车间调度的有效管理，从而提高了市场上制造企业的竞争力，专注于基于遗传算法的生产车间调度模拟。首先，该研究分析了生产车间调度的概念和特征，然后提出了生产车间调度的目标函数和调度规则;该研究还介绍了结合调度规则的遗传算法，其被认为是遗传基因来实现通过模拟计算的生产调度的优化;此外，为了满足制造企业的动态生产环境，研究提出了一种动态调度模型;最后，通过MATLAB和VC的混合编程实现了生产车间调度系统的动态仿真。仿真结果表明，动态模型可以降低调度时间，提高动态调度的稳定性，对制造企业生产车间调度具有积极的指导意义。

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