摘要: 为了优化辊筒棒磨机的磨矿过程，选取影响磨矿性能的主要因素，利用量纲分析法对磨矿特征进行描述，并结合实验数据，建立磨矿过程的多目标优化模型; 利用遗传算法对模型进行求解，得到 Pareto 最优解集，采用优劣解距离( TOPSIS) 法寻得多目标优化问题的一组最优解，并对结果进行分析。结果表明: 进行多目标优化后，棒磨机产率提高了 5．46% ，能源利用率提升 5．04% ，磨矿产物的均一性指数增大 1．088，有效地提升了辊筒棒磨机的综合性能。

关键词: 辊筒棒磨机；综合性能；遗传算法；多目标优化

Abstract: In order to optimize the grinding process of the roller rod mill，the main factors affecting the grinding performance were selected．The dimensional analysis method was used to describe the grinding characteristics．Combined with the experimental data，a multi-objective optimization model of the grinding process was established．The algorithm solves the Pareto solution set，and uses the TOPSIS method to find the optimal solution of many targets，and analyzes the results．The results show that after multi-objective optimization，the rod mill yield is increased by 5．46% ，the energy utilization rate is increased by 5．04% ，and the homogenization index of the grinding product is increased by 1．088， which effectively improves the overall performance of the roller rod mill．

Keywords: roll bar mill; comprehensive performance; genetic algorithm; multi-objective optimization