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The Analysis of Efficiency Dependence of the Shortest Path Finding Algorithms A* and HPA*

机译:最短路径查找算法A *和HPA *的效率相关性分析

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Many pathfinding problems in real-world applications require real-time computation of the shortest path between two points in a grid-based environment. It is not a trivial task. While some shortest pathfinding algorithms may perform admissibly in one condition, they may prove inadmissible in other conditions. HPA* path finding algorithm is faster and more memory efficient than the A*algorithm in relatively large two dimensional grids, but this advantage may not apply to very small or very large grids. The paper deals with the efficiency of A* and HPA*in two-dimensional grids of different sizes. For the sake of completeness of the analysis, HPA* efficiency is measured taking into consideration the number of hierarchy levels and different cluster sizes. Both algorithms have been implemented and tests conducted. Experimental evidence is proposed to demonstrate the algorithm efficiency in various conditions.
机译:实际应用中的许多寻路问题都需要实时计算基于网格的环境中两点之间的最短路径。这不是一项琐碎的任务。尽管某些最短寻路算法可能在一种情况下可以接受,但在其他情况下却可能被证明是不可接受的。在相对较大的二维网格中,HPA *路径查找算法比A *算法更快,存储效率更高,但是此优点可能不适用于非常小或非常大的网格。本文讨论了在不同大小的二维网格中A *和HPA *的效率。为了分析的完整性,在衡量HPA *效率时要考虑到层次结构级别的数量和不同的集群大小。两种算法均已实现并进行了测试。提出了实验证据来证明在各种条件下的算法效率。

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