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金属矿山 ›› 2016, Vol. 45 ›› Issue (09): 161-164.

• 机电与自动化 • 上一篇    下一篇

露天矿运输调度优化的生物地理学改进算法

王桃1,江松2,卢才武2   

  1. 1.西安建筑科技大学华清学院,陕西 西安 710043;2.西安建筑科技大学管理学院,陕西 西安 710055
  • 出版日期:2016-09-15 发布日期:2016-10-18
  • 基金资助:

    基金项目 国家自然科学基金项目(编号:51404182),教育部高等学校博士学科点专项(编号:20126120120019)。

Improved Biogeography Optimization Algorithm Method for Open-pit Hauling Dispatching

Wang Tao1,Jiang Song2,Lu Caiwu2   

  1. 1.Huaqing College,Xi′an University of Architecture and Technology,Xi′an 710043,China;2.Management College,Xi′an University of Architecture and Technology,Xi′an 710055,China
  • Online:2016-09-15 Published:2016-10-18

摘要: 露天矿生产运输调度优化问题是一类典型的具有非线性、多变量特征的优化问题。首先,在对露天矿卡车调度优化进行系统分析的基础上,以总运输费用最小为目标函数,给定矿石量、运输能力等约束条件,建立运输调度优化模型;然后,提出将差分算法中局部搜索功能引入到基本生物地理学优化算法的迁移策略中的改进生物地理学优化算法;最后,以MATLAB软件为平台,以露天矿实际生产运输实例数据为依据,计算出改进的生物地理学算法优化路径的综合运输成本比实际花费成本节约5 994万元,且比单一的生物地理学算法和差分算法优化路径的运输成本更低,验证了该算法求解露天矿运输调度问题的优越性。

关键词: 露天矿, 运输调度, 生物地理学算法, 优化

Abstract: The optimization of production and hauling dispatching in open-pit mine features as typical multivariate and nonlinearity.First of all,based on analysis on the optimization of the open-pit truck dispatching,with the minimum total transportation cost as the objective function,the quantity of ore and transport capacity as constraints,the transport dispatching optimization model was established,and then it was put forward that the local search function within differential algorithm was introduced into the improved biogeography-based optimization algorithm with migration strategy.Finally,with MATLAB software as a platform,and the actual production and transportation data in open-pit mine as the basis,the comprehensive transportation cost calculated from the improved biogeography algorithm save 59.94 million yuan than the actual costs.Moreover,the algorithm can lower the transport costs compared with the single biogeography and the differential algorithm,which verifies its superiority for solving transportation dispatching problem in open-pit mine.

Key words: Open-pit mine, Hauling dispatching, Biogeography-based algorithm, Optimization