蚁群算法在矿井通风系统优化设计中的应用

从本质上讲，矿井通风系统优化设计是一个复杂的组合优化问题，而蚁群算法是近来发展起来的一种针对复杂组合优化问题求解的较理想的方法。因此，考虑到通风系统优化的本质，采用蚁群算法进行了矿井通风系统优化设计的研究，把通风系统优化设计作为蚂蚁路径优化问题处理，提出了一种新颖的通风系统优化方法。最后，采用某矿山通风系统优化的实例验证了蚁群算法的应用效果，结果表明，该方法可以较好的解决这类复杂的优化问题，具有较好的应用前景。

Application of Ant Colony Algorithm in the Optimization of Mine Ventilation System

The optimization of mine ventilation system essentially is a very complicated combination optimization, while, ant colony algorithm, which is proposed recently, is a very good method to solve complicated combination optimization problem. In this paper, considering the essence of optimization of mine ventilation system, the ant colony algorithm is introduced to solve the optimization problem of mine ventilation system, in which ventilating network is optimized as the crawl routes of ant colony. So, a new method for optimization of mine ventilation system is proposed here. At last, a mining engineering example is used to verify the applied effects of this new method. The results show that, this method can solve this complicated problem very well, and has better application prospects.