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为了提高煤炭调运的效率及节省运输成本,采用蚁群算法来完成煤炭调运分配的路径规划,文章首先对我国煤炭资源地理分配不均及城市需求各有差异等实际情况进行了说明,接着详述蚁群算法基本原理,最后进行煤炭调运实例仿真,实验结果表明,采用蚁群算法求得最优解,收敛快,效率高,而且能够方便实现路径规划。实验证明,蚁群算法运用于煤炭调运分配具有一定的优势,有较高的研究价值。
In order to improve the efficiency of coal transportation and save the cost of transportation, the ant colony algorithm is used to complete the path planning of coal transportation and distribution. The article first describes the actual situation of uneven distribution of coal resources and urban demand in our country. The basic principle of ant colony algorithm is given. Finally, the example of coal transportation is simulated. The experimental results show that the ant colony algorithm is used to find the optimal solution, which has the advantages of fast convergence, high efficiency and convenient route planning. Experiments show that the application of ant colony algorithm to coal distribution has some advantages and has a high research value.