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作 者:李勇 LI Yong(Jinbei Energy Chemical Co.,Ltd.,Huozhou Coal Electricity Group,Xinzhou 035100,Shanxi,China)
机构地区:[1]霍州煤电集团晋北能化有限责任公司,山西忻州035100
出 处:《能源与节能》2024年第4期192-194,201,共4页Energy and Energy Conservation
摘 要:针对煤矿物流运输,介绍了1种煤矿生产调度管理优化设计方案。根据煤矿物流运输的具体情况,构建了煤炭短倒运输多目标调度模型,并以此为基础,分别从多个方面设置了约束条件。最后,使用改进的多目标遗传算法对调度模型进行计算,以获得最优解,即煤炭短倒运输调度的最佳方案。通过应用该方案,提升了煤矿物流运输的效率,具有一定的应用价值。Aiming at the logistics transportation of coal mines,an optimization design scheme of coal mine production scheduling management was introduced.According to the specific situation of coal mine logistics transportation,a multi-objective scheduling model of coal short transfer transportation was constructed,and on this basis,constraints were set up for the scheduling process from many aspects.Finally,the improved multi-objective genetic algorithm was used to calculate the scheduling model to obtain the optimal solution,that is,the best scheme of coal short transfer transportation scheduling.Through the application of the scheme,the efficiency of coal mine logistics transportation can be improved,which is of certain application value.
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