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首页> 外文期刊>The Journal of Artificial Intelligence Research >Solving Multi-agent Path Finding on Strongly Biconnected Digraphs
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Solving Multi-agent Path Finding on Strongly Biconnected Digraphs

机译:解决强连通图上的多主体路径查找问题

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摘要

Much of the literature on suboptimal, polynomial-time algorithms for multi-agent path finding focuses on undirected graphs, where motion is permitted in both directions along a graph edge. Despite this, traveling on directed graphs is relevant in navigation domains, such as path finding in games, and asymmetric communication networks. We consider multi-agent path finding on strongly biconnected directed graphs. We show that all instances with at least two unoccupied positions have a solution, except for a particular, degenerate subclass where the graph has a cyclic shape. We present diBOX, an algorithm for multi-agent path finding on strongly biconnected directed graphs. diBOX runs in polynomial time, computes suboptimal solutions and is complete for instances on strongly biconnected digraphs with at least two unoccupied positions. We theoretically analyze properties of the algorithm and properties of strongly biconnected directed graphs that are relevant to our approach. We perform a detailed empirical analysis of diBOX, showing a good scalability. To our knowledge, our work is the first study of multi-agent path finding focused on directed graphs.
机译:有关用于多主体路径查找的次优,多项式时间算法的许多文献都集中在无向图上,在无向图上允许沿着图边缘在两个方向上运动。尽管如此,在有向图上旅行仍与导航领域相关,例如游戏中的路径查找和非对称通信网络。我们考虑在强双向连通的有向图上进行多主体路径查找。我们表明,具有至少两个未占用位置的所有实例都有一个解决方案,除了图具有循环形状的特定的退化子类之外。我们介绍了diBOX,该算法用于在强双向连接的有向图上进行多智能体路径查找。 diBOX以多项式时间运行,计算次优解,并且对于具有至少两个未占用位置的强双向图上的实例是完整的。我们从理论上分析算法的属性和与我们的方法相关的强双向有向图的属性。我们对diBOX进行了详细的经验分析,显示了良好的可伸缩性。据我们所知,我们的工作是针对有向图的多智能体路径查找的第一项研究。

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