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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。
The ant colony algorithm is applied to the optimization design of railway longitudinal section, and an optimization method of railway longitudinal section based on ant colony algorithm is proposed. That is, the grids are divided and the initial pheromone is set in the vicinity of each changing point of the initial profile scheme. The artificial pheromones are simulated by the computer and the information is selected based on the probabilities and the information on the selected paths is updated The iterative optimization of the slope position is repeated several times within the range of the divided grid. The method is further optimized through narrowing and refinement until the optimization result meets the requirement. The results show that the design method can not only meet various technical requirements, but also make all kinds of engineering costs or operating costs to optimize, to provide a basis for improving the location of the plane.