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中文摘要：
为实现每日综合生产指标的优化分解,在综合考虑多种约束条件下,建立了以最小化选矿生产线负荷波动和最小化惩罚费用为目标的多目标规划模型,提出了一种改进的多目标粒子群算法,用于模型的求解,最后通过现场数据的仿真研究验证了模型和算法的有效性。
英文摘要：
To optimize daily global production indices decomposition, considering various constraints, the multi-objective programming model was proposed to minimize punish fees and fluctuation of mineral process assembly load. And an improved multi-objective particle swarm algorithm was put forward to solve the model. Finally, the field data simulation result proved effectiveness of the model and algorithm.
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