Brief announcement: efficient approximation algorithms for computing k disjoint restricted shortest paths

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2015

Authors

Guo, L.
Shen, H.
Liao, K.
Li, P.

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Conference paper

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Proceedings of the 27th ACM symposium on Parallelism in Algorithms and Architectures, 2015, vol.2015-June, pp.62-64

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Longkun Guo, Kewen Liao

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27th ACM symposium on Parallelism in Algorithms and Architectures (SPAA) (13 Jun 2015 - 15 Jun 2015 : Portland, OR)

Abstract

Let G = (V, E) be a digraph with nonnegative integral cost and delay on each edge, s and t be two vertices, and D ∈ Z+ 0 be a delay bound, the k disjoint Restricted Shortest Path (kRSP) problem is to compute k disjoint paths between s and t with the total cost minimized and the total delay bounded by D. In this paper, we first present a pseudo- polynomial-time algorithm with a bifactor approximation ratio of (1, 2), then improve the algorithm to polynomial time with a bifactor ratio of (1+∈, 2+∈) for any fixed ǫ > 0, which is better than the current best approximation ratio (O(1 + γ),O(1 + ln ¹ )) for any fixed γ > 0 [3, 5]. To the best of our knowledge, this is the first constant-factor algo- rithm that almost strictly obeys kRSP constraint.

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Copyright is held by the owner/author(s). Publication rights licensed to ACM

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