矿山短期生产计划优化的多目标遗传粒子群算法

Multi-objective Genetic Particle Swarm Optimization Algorithm for the Short-term Production Planning in a Mine

针对露天矿山生产的基本特征及短期生产计划的编制要求,从露天矿山的品位及经济成本最小化的角度出发,构建了露天矿短期生产作业计划优化模型。以MATLAB软件为平台,采用遗传粒子群混合智能算法对模型进行求解。以某石灰石露天矿为工程背景进行研究,将研究结果与露天矿实际生产指标进行对比验证。结果表明:该模型适用于露天矿短期采掘作业生产计划的编制,优化结果保证了矿山生产作业出矿品位、出矿量及生产利润三者之间的平衡,有利于提高矿山的经济效益。

In view of the basic characteristics of open-pit mine production and the requirements of short-term production plan,and in order to obtain the ore grade and the minimal economie cost of open-pit mines,an optimization model of short- term production plan is established.Based on MATLAB software,the hybrid intelligent algorithm of genetic particle swarm op- timization is used to salve the model.Taking a limestone open-pit mine as a case,the research results are compared with the actual production indexes of the open-pit mine.The results show that this model is suitable for making the plan of the short- term mining production.The optimization results guarantee the balance among the three kinds of mine production indexes,in- cluding ore grade,ore output and production profit.As a result,this optimized model is helpful to increase the economic bene- fit of open-pit mine.