论文部分内容阅读
现代物流运输煤矿运输车辆调度过程复杂多变,蚁群算法是一种新型的启发式搜索算法,可以很好地解决这一问题。传统蚁群算法容易出现早熟和停滞现象,因此,通过对基本蚁群算法中的选择策略和信息素的改进,提出一种新的蚁群算法,克服传统蚁群算法的缺陷。将它用于求解煤矿运输车辆调度问题,仿真实验证明了改进算法的有效性和可行性。
Modern logistics and transportation Coal transportation vehicles scheduling complex and volatile, ant colony algorithm is a new type of heuristic search algorithm that can be a good solution to this problem. The traditional ant colony algorithm is prone to precocity and stagnation. Therefore, a new ant colony algorithm is proposed to overcome the shortcomings of the traditional ant colony algorithm by improving the selection strategy and pheromone in the basic ant colony algorithm. It is used to solve the coal transportation vehicle scheduling problem. The simulation results show that the improved algorithm is effective and feasible.