基于蚁群算法的铁路纵断面优化算法研究

将蚁群算法应用于铁路纵断面优化设计，提出一种基于蚁群算法的铁路纵断面优化设计方法。即在初始纵断面方案的每个变坡点附近区域内划分网格并设置网格中心点之间的初始信息素；由计算机模拟出人工蚁，根据概率选择路径并更新所选路径上的信息素，在划分的网格范围内多次迭代优选变坡点位置；通过缩小范围、逐步求精的方法进一步优化，直至优化结果达到要求为止。结果表明，采用该设计方法，既能满足各项技术要求为止，又能使各种工程费用或运营费用达到最优，为改善平面位置提供依据。

Optimization of railway profile design based on ant colony algorithm

A new optimization method through applying the ant colony algorithm was put forward for railway profile design.The area around each grade change point was divided into meshes in the initial profile project,initial pheromone was set between every two central points of meshes,and artificial ants was simulated by computer.The artificial ants can choose path according to choice probability and then update the pheromone.The artificial ants was used to optimize the positions of grade change points in the divided ...