基于蚁群算法的煤矿矿井水处理厂址优化配置

Optimal allocation of coal mine water treatment plants based on ant colony algorithm

针对焦作矿区矿井水处理厂址选择问题,根据焦作矿区中马矿、演马矿、九里山矿三矿井的涌水量、地理条件、人口分布和工农业生产布局等特点,以煤矿矿井水处理费用最小为目标函数,采用蚁群算法模型对煤矿矿井水处理厂址进行优化配置,保证在中马矿、演马矿、九里山矿所围区域内建立的矿井水处理厂的建设费用和运行成本最低。

Directing to the problem of water treatment plant site selection in Jiaozuo mining area,according to the characteristics which contains mine water quantity,geographical conditions,population distribution,layout of industry and agriculture etc in Yanma mine,Zhongma mine and Jiulishan mine,objective function is established with minimum water processing cost and the sites of mine water purification plant are optimized by ant colony algorithm method.The results indicate that the costs of construction and operation are the lowest.