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  1. Issue , 2002
  2. Implementation of approximation algorithms for weighted and unweighted edge-disjoint paths in bidirected trees
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Implementation of approximation algorithms for weighted and unweighted edge-disjoint paths in bidirected trees

Content Provider ACM Digital Library
Author Erlebach, Thomas Jansen, Klaus
Copyright Year 2002
Abstract Given a set of weighted directed paths in a bidirected tree, the maximum weight edge-disjoint paths problem (MWEDP) is to select a subset of the given paths such that the selected paths are edge-disjoint and the total weight of the selected paths is maximized. MWEDP is $\textit{NP}-$ hard for bidirected trees of unbounded degree, even if all weights are the same (the unweighted case). Three different approximation algorithms are implemented: a known combinatorial (5/3 + ε)-approximation algorithm $\textit{A}1$ for the unweighted case, a new combinatorial 2-approximation algorithm $\textit{A}2$ for the weighted case, and a known (5/3 + ε)-approximation algorithm $\textit{A}3$ for the weighted case that is based on linear programming. For algorithm $\textit{A}1,$ it is shown how efficient data structures can be used to obtain a worst-case running-time of O(m + n + $4^{1/ε}$ √n ċ m) for instances consisting of $\textit{m}$ paths in a tree with $\textit{n}$ nodes. Experimental results regarding the running-times and the quality of the solutions obtained by the three approximation algorithms are reported. Where possible, the approximate solutions are compared to the optimal solutions, which were computed by running CPLEX on an integer linear programming formulation of MWEDP.
Starting Page 6
File Format PDF
ISSN 10846654
e-ISSN 10846654
DOI 10.1145/944618.944624
Journal Journal of Experimental Algorithmics (JEA)
Volume Number 7
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2002-12-01
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Algorithms Combinatorial optimization Experimentation Linear programming
Content Type Text
Resource Type Article
Subject Theoretical Computer Science
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