Greedy edge-disjoint paths in complete graphs

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Abstract

The maximum edge-disjoint paths problem (MEDP) is one of the most classical NP-hard problems. We study the approximation ratio of a simple and practical approximation algorithm, the shortest-path-first greedy algorithm (SGA), for MEDP in complete graphs. Previously, it was known that this ratio is at most 54. Adapting results by Kolman and Scheideler [Proceedings of SODA, 2002, pp. 184-193], we show that SGA achieves approximation ratio 8F + 1 for MEDP in undirected graphs with flow number F and, therefore, has approximation ratio at most 9 in complete graphs. Furthermore, we construct a family of instances that shows that SGA cannot be better than a 3-approximation algorithm. Our upper and lower bounds hold also for the bounded-length greedy algorithm, a simple on-line algorithm for MEDP. © Springer-Verlag Berlin Heidelberg 2003.

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Carmi, P., Erlebach, T., & Okamoto, Y. (2003). Greedy edge-disjoint paths in complete graphs. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2880, 143–155. https://doi.org/10.1007/978-3-540-39890-5_13

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