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Efficient Algorithms for the Prize Collecting Steiner Tree Problems with Interval Data

Abstract : Given a graph $G=(V,E)$ with a cost on each edge in $E$ and a prize at each vertex in $V$, and a target set $V\'\\subseteq V$, the Prize Collecting Steiner Tree (PCST) problem is to find a tree $T$ interconnecting vertices in $V\'$ that has minimum total costs on edges and maximum total prizes at vertices in $T$. This problem is NP-hard in general, and it is polynomial-time solvable when graphs $G$ are restricted to 2-trees. In this paper, we study how to deal with PCST problem with uncertain costs and prizes. We assume that edge $e$ could be included in $T$ by paying cost $x_eın[c_e^-,c_e^+]$ while taking risk $\\frac c_e^+-x_e{ c_e^+-c_e^-$ of losing $e$, and vertex $v$ could be awarded prize $p_vın [p_v^-,p_v^+]$ while taking risk $\\frac y_v-p_v^-{p_v^+-p_v^-$ of losing the prize. We establish two risk models for the PCST problem, one minimizing the maximum risk over edges and vertices in $T$ and the other minimizing the sum of risks. Both models are subject to upper bounds on the budget for constructing a tree. We propose two polynomial-time algorithms for these problems on 2-trees, respectively. Our study shows that the risk models have advantages over the tradional robust optimization model, which yields NP-hard problems even if the original optimization problems are polynomial-time solvable.
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Contributor : Alain Monteil <>
Submitted on : Tuesday, February 26, 2013 - 3:37:41 PM
Last modification on : Tuesday, February 26, 2013 - 4:49:51 PM


  • HAL Id : hal-00794824, version 1


E. Alvarez-Miranda, A. Candia, X. Chen, X. Hu, B. Li. Efficient Algorithms for the Prize Collecting Steiner Tree Problems with Interval Data. Proceedings of the 6th International Conference on Algorithmic Aspects in Information and Management (AAIM), 2010, Weihai, China, pp.13-24. ⟨hal-00794824⟩



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