A shortest path searching method with area limitation heuristics

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Abstract

While heuristics based on geometric constructs of the networks would appear to improve performance of Dijkstra's algorithm, the fallacy of depreciated accuracy has been an obstacle to the wider application of heuristics in the search for shortest paths. The authors presented a shortest path algorithm that employs limited area heuristics guided by spatial arrangement of networks. The algorithm was shown to outperform other theoretically optimal solutions to the shortest path problem and with only little accuracy lost. More importantly, the confidence and accuracy levels were both controllable and predictable. © Springer-Verlag Berlin Heidelberg 2006.

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APA

Lu, F., & Lai, P. C. (2006). A shortest path searching method with area limitation heuristics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3991 LNCS-I, pp. 884–887). Springer Verlag. https://doi.org/10.1007/11758501_129

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