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A novel hybrid algorithm for the dynamic shortest path problem

机译:动态最短路径问题的一种新型混合算法

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For the dynamic shortest path problem, a novel hybrid algorithm DSP is designed, which embeds the ant colony algorithm into the A algorithm. Considering both the speed of searching and the quality of solution, in DSP algorithm, the evaluation function and the means of selecting next expanded node in A algorithm as well as searching strategy and related parameters in the ant colony algorithm are improved firstly, then the current saved path, obstruction isolation search and the novel dynamic path planning method are proposed. The experimental results show that the algorithm runs better than other existing methods. Moreover, it can find the shortest path or the approximate shortest one within a shorter period of time on road networks of any scales, especially more effectively on the large scale.
机译:对于动态最短路径问题,设计了一种新颖的混合算法DSP,其将蚁群算法嵌入算法。考虑到算法中的搜索速度和解决方案的质量,在算法中选择下一个扩展节点的评估函数和方法,以及蚁群算法中的搜索策略和相关参数,然后是电流提出了已保存的路径,障碍隔离搜索和新型动态路径规划方法。实验结果表明,该算法比其他现有方法更好。此外,它可以在任何尺度的道路网络的较短时间段内找到最短的路径或近似最短的路径,特别是在大规模上更有效地更有效地。

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