基于蚁群算法的煤炭物流网络建设研究

为了提高煤炭物流网络的高效性,降低煤炭运输成本,采用蚁群算法对煤炭物流网络进行线路规划。先对我国煤炭地理分配不均的实际情况进行描述,接着对蚁群算法数学模型进行详细分析,最后进行实例仿真,验证蚁群算法在煤炭物流网络线路规划的性能。实验证明,采用蚁群算法对运输路线进行规划,可寻得最优路径,具有一定的研究价值。

Study on Coal Logistics Network Construction Based on Ant Colony Algorithm

In order to improve the efficiency of the coal logistics network, reduce coal transportation costs, the ant colony algorithm for route planning of coal logistics network.The actual situation of coal geographic distribution in China are not described, followed by a detailed analysis of the ant colony algorithm mathematical model, finally carries on the example simulation, performance, verify the ant colony algorithm in the coal logistics network planning of experiments show that, ant colony algorithm is applied to the planning oftransport routes, can find the optimal path, with research value certain.