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An application of IPA approach on the optimization of a mining port stockyard system

机译:IPA方法在矿山港口堆场系统优化中的应用

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In this research a stockyard system of a mining operation was analyzed using backward analysis. The system was decomposed into two sub-systems : sub-system 1 modelled the outflow from the stockyard and sub-system 2 the inflow. The Perturbation Analysis Robbins Monro Single Run (PARMSR) algorithm was applied in the optimization of sub-system 1 and rules devised to determining optimal operating condition in sub-system 2. The results show that PARMSR algorithm applying IPA can be used to estimate the optimal cost function in subsystem 1 with a high level of confidence. Using the result from sub-system 1, sub-system 2 was analyzed based on rules devised to obtain an overall optimal result of the stockyard system. The overall results can be used to build an optimal operating management strategy of a stockyard system of a mining operation at certain set of stockyard capacity.
机译:在这项研究中,使用后向分析对采矿作业的堆场系统进行了分析。该系统被分解为两个子系统:子系统1模拟了来自堆场的流出,子系统2模拟了流入。在子系统1的优化中应用了扰动分析Robbins Monro单次运行(PARMSR)算法,并设计了确定子系统2最佳运行条件的规则。结果表明,使用IPA的PARMSR算法可用于估计最优子系统1中具有高置信度的成本函数。使用子系统1的结果,基于为获得堆场系统的总体最佳结果而设计的规则,对子系统2进行了分析。总体结果可用于在特定的堆场容量集下建立采矿作业的堆场系统的最佳操作管理策略。

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