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露天煤矿运输问题研究

Based on genetic algorithms Fuxin Coal Transport Study

中文摘要英文摘要

随着煤炭资源的紧缺,大型煤矿集团对于本企业的煤矿开采运输,更加的合理化和科学化,在大型的露天矿开采现场,对于运输车辆的调度工作势必会影响开采的效率。合理的运输,可以实现规模效益,降低运输成本,从而获得更大的效益。论文在建立物流配送路径优化问题的数学模型的基础上,构造了求解该问题的遗传算法,并进行了实验计算。计算结果表明,用遗传算法进行物流配送路径优化,可以方便有效地求得问题的最优解或近似最优解。

With the shortage of coal resources, large-scale Coal Mine Group for the coal mining enterprises, transport, more rationalization and scientific, in the large-scale open-pit mining at the scene, for scheduling the work of transport vehicles will certainly affect the extraction efficiency. Reasonable transport, can achieve economies of scale, lower transportation costs, thereby gaining greater efficiency. Papers in the establishment of logistics distribution path optimization problems based on the mathematical model is constructed to solve the problem of genetic algorithm and experimental calculation. The results show that genetic algorithm optimization of logistics and distribution path, you can easily and efficiently achieve optimal solution or approximate optimal solution.

李运泽

矿山运输、矿山运输设备交通运输经济

遗传算法资源运输路径选择

Genetic algorithmsresource transportationroute choice

李运泽.露天煤矿运输问题研究[EB/OL].(2009-02-04)[2025-08-16].http://www.paper.edu.cn/releasepaper/content/200902-57.点此复制

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