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用O(tlogt)的连接图求有障碍时的最短路径 被引量:10

FINDING OBSTACLE AVOIDING SHORTEST PATH USING CONNECTION GRAPH WITH O(t log t) EDGES
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摘要 针对有障碍时求两点间的最短路径这一问题,提出了极区和自由区的概念,并由此构造出一种新的强连接图GF,它由自由区的特征边和障碍的极边构成,其顶点数为O(t),边数为O(tlogt),其中t为障碍的极边数.而现有最佳连通图的顶点数和边数为O(t2).同时提出了时间复杂度为O(tlog2t)的高效GF构造算法,并使用“不改向”的启发式A*算法在GF中寻找两点间的最短路径. Finding obstacle avoiding shortest path is an important problem in VLSI design. Connection graph is a fundamental tool to resolve the problem, the known best of which now have O(t 2) vertices and edges, where t is the number of extreme edges of the obstacles. This paper introduces some new conceptions such as extreme area and free area, from which a new connection graph G F is derived. G F is made up with characteristic edges of the free areas and extreme edges of the obstacles. It have only O(t) vertices and O(t log t) edges. This paper also derives a O(t log 2t) time algorithm used to construct G F and uses “don't change direction” heuristics together with A * algorithm to get the shortest obstacle avoiding path using G F .
出处 《计算机学报》 EI CSCD 北大核心 1999年第5期519-524,共6页 Chinese Journal of Computers
基金 教育部博士点基金
关键词 VLSI 强连接图 最短路径 集成电路 VLSI design, extreme area, free area, connection graph, shortest path.
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参考文献5

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同被引文献30

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