4.5 Article

An approximation algorithm for the group prize-collecting Steiner tree problem with submodular penalties

Journal

COMPUTATIONAL & APPLIED MATHEMATICS
Volume 41, Issue 6, Pages -

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s40314-022-01984-2

Keywords

Group prize-collecting Steiner tree problem; Submodular function; Approximation algorithm

Funding

  1. NSF of China [11971146]
  2. NSF of Hebei Province of China [A2019205089, A2019205092]
  3. Hebei Province Foundation for Returnees [CL201714]
  4. Overseas Expertise Introduction Program of Hebei Auspices [25305008]
  5. Graduate Innovation Grant Program of Hebei Normal University [CXZZSS2022052]

Ask authors/readers for more resources

This paper considers the group prize-collecting Steiner tree problem with submodular penalties. The goal of the problem is to find an r-rooted tree that minimizes the costs of the edges in the tree plus the penalty cost of the subcollection not spanned by the tree. The main result is a 2I-approximation algorithm for the problem.
In this paper, we consider the group prize-collecting Steiner tree problem with submodular penalties (GPCST-SP problem). In this problem, we are given an undirected connected graph G = (V, E) with a pre-specified root r and a partition V = {V-0, V-1, ..., V-k} of V with r is an element of V-0. Assume c : E -> R+ is an edge cost function and p : 2(V) -> R+ is a submodular penalty function, where R+ is the set of nonnegative real numbers. For a group V-i is an element of V, we say it is spanned by a tree if the tree contains at least one vertex of that group. The goal of the GPCST-SP problem is to find an r-rooted tree that minimizes the costs of the edges in the tree plus the penalty cost of the subcollection S containing these groups not spanned by the tree. Our main result is a 2I-approximation algorithm for the problem, where I = max{vertical bar V-i vertical bar vertical bar i = 0, 1, 2, ..., k}.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available