基于改进粒子群算法的露天矿运输调度优化  

Open-pit hauling dispatching optimization based on improved PSO algorithm

作　　者：李勇[1,2] 胡乃联[1] 李国清[1] 

机构地区：[1]北京科技大学土木与环境工程学院,北京100083 [2]北京科技大学金属矿山高效开采与安全教育部重点实验室,北京100083

出　　处：《中国矿业》2013年第4期98-101,105,共5页China Mining Magazine

基　　金：中央高校基本科研业务费专项资金资助(编号:FRF-SD-12-001A);国家自然科学基金项目资助(编号:51104010)

摘　　要：针对露天矿运输调度问题,以运输费用达到最小为目标,构建露天矿运输调度系统的优化数学模型,基于群体智能优化理论,提出用粒子群算法对露天矿运输调度模型进行解算的方法,并在求解过程中设计了带双引子的粒子搜索策略。以MATLAB软件为平台,应用计算机编程技术,实现模型解算。最后,用露天矿实际生产数据验证了带双引子粒子群算法求解露天矿运输调度问题的有效性。A mathematical model of open-pit hauling dispatching was constructed from the view point of minimizing open-pit transportation cost. Based on the theory of swarm intelligence optimization,a method of using particle swarm optimization algorithm to optimize open-pit mining operation plan was proposed in this paper,and the search strategy with double attractor was designed for particles in the calculation process. With MATLAB software as a computation platform, the model was calculated by using computer programming technology. With taking the actual production data of an open pit mine as an example, the effectiveness for using improved PS0 （Particle Swarm Optimization） algorithm to solve open-pit hauling dispatching problem was verified.

关 键 词：粒子群算法 露天矿 运输调度 优化 

分 类 号：TD57[矿业工程—矿山机电]