摘要
为提高地下矿运输效率,必须对电机车的运行路线以及行驶距离等因素进行综合分析。在考虑每个班次运输任务的前提下,提出了一种以总运量和总运输距离为优化目标的多目标运输路径优化模型。NSGA-Ⅱ是一种常用的解决多目标优化问题的算法,将其应用于地下矿运输路径的优化,并使用MATLAB软件对求解过程进行仿真。结果表明,利用该方法可以快速地求解出最佳的运输路径,为矿山运输路线的编排提供依据和保证。以云南某铜矿山为例,在最佳运输路径时,总运量为1 348.4 t·km,运输距离为2 995.7 m。
In order to improve the efficiency of underground mine＇s transportation,the running route and distance of electric locomotive must be considered for comprehensive analysis.Under the premise of considering the transportation task of every-shifl,a multi-objective route optimization model was proposed with the total amount and the total haul distance of electric locomotive as the optimization goal.The NSGA-II is a commonly used algorithm to solve the problem of multi-objective optimization,it was applied to optimize the route of underground mine＇ s transportation for the first time, and MATLAB software was used for emulating the solving process.The results show that the best transportation route is quickly gotten by using this method, and it provides basis and assurance for the route arrangement of mine＇s transportation.Taking a copper mine in Yunnan Province as an example,the total amount is 1 348.4 t ·km and the total haul distance is 2 995.7 m when in the best transportation route.
出处
《黄金科学技术》
CSCD
2016年第2期95-100,共6页
Gold Science and Technology
基金
国家高技术研究发展计划("863"计划)项目"地下金属矿开采智能调度与控制"(编号:2011AA060407)资助
关键词
NSGA-Ⅱ算法
多目标优化
井下运输
路径选取
NSGA-II
multi-objective optimization
underground transportation
route determination
