A Focal Any-Angle Path-finding Algorithm Based on A* on Visibility Graphs
Cao, Pei, Fan, Zhaoyan, Gao, Robert X., Tang, Jiong
–arXiv.org Artificial Intelligence
In this research, we investigate the subject of path-finding. A pruned version of visibility graph based on Candidate Vertices is formulated, followed by a new visibility check technique. Such combination enables us to quickly identify the useful vertices and thus find the optimal path more efficiently. The algorithm proposed is demonstrated on various path-finding cases. The performance of the new technique on visibility graphs is compared to the traditional A* on Grids, Theta* and A* on Visibility Graphs in terms of path length, number of nodes evaluated, as well as computational time. The key algorithmic contribution is that the new approach combines the merits of grid-based method and visibility graph-based method and thus yields better overall performance.
arXiv.org Artificial Intelligence
Jun-9-2017
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