改进遗传算法及其在矿山生产调度中的应用

基于多目标生产调度的特点和不足,从采掘运输成本和矿石品位两个角度出发,考虑矿石种类、铲位出矿量及卡车调度等因素,构建了多目标矿山生产调度模型.结合遗传算法解决多目标优化问题的优势,提出了基于改进遗传算法的矿山生产调度策略以及实现过程,并将改进前后遗传算法对模型的求解进行对比.模拟实验结果表明,运用改进遗传算法对矿山资源...

Improved genetic algorithm and its application in mine production scheduling

Based on the characteristics and shortcomings of multi-objective production scheduling, this paper constructs a multi-objective mine production scheduling model from the perspectives of mining and transportation costs and ore grade, considering factors such as ore types, shovel output and truck scheduling. Combining the advantages of genetic algorithm in solving multi-objective optimization problems, a mine production scheduling strategy based on an improved genetic algorithm and its implementation process are proposed, and the genetic algorithm before and after the improvement is compared to the solution of the model. The simulation experiment results show that the improved genetic algorithm is used to dispatch mine resources optimization is feasible and can promote better development of the mining industry.