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A Scheduling Method Based on NSGA2 for Steelmaking and Continuous Casting Production Process

机译：基于NSGA2的炼钢连铸生产调度方法

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In this paper a new non-dominated sorting genetic algorithm with elite strategy (NSGA2) based production scheduling method is proposed for complex steelmaking and continuous casting production process which is consisted of multiple refining ways. At first, the multi-objective optimization scheduling model is established according to production process and schedule requirement. And then NSGA2 is used to solve the scheduling model. There are multiple Pareto non-inferior solutions from the solving phase, and decision maker may select one of solutions based on own preference, while it is not the most optimal. To fix this problem, the optimal decision making method is put forward, combining the fuzzy membership degree and the variance weighting. Simulation experiments are carried out with the actual industry production data, which shows that the proposed method is practical for industry production.
机译：针对复杂炼钢和连铸生产过程，提出了一种基于精英策略的非主导排序遗传算法（NSGA2）的生产调度方法，该算法由多种精炼方法组成。首先，根据生产过程和进度要求，建立了多目标优化调度模型。然后使用NSGA2求解调度模型。在求解阶段有多种帕累托非劣等解，决策者可以根据自己的喜好选择一种解，尽管它不是最佳选择。针对这一问题，提出了一种模糊隶属度和方差加权相结合的最优决策方法。利用实际的工业生产数据进行了仿真实验，结果表明该方法对工业生产是可行的。

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