Approximation Algorithms for Vertex-Connectivity Augmentation on the Cycle
Abstract
Given a k-vertex-connected graph G and a set S of extra edges (links), the goal of the k-vertex-connectivity augmentation problem is to find a subset Sâ² of S of minimum size such that adding Sâ² to G makes it (k+ 1 ) -vertex-connected. Unlike the edge-connectivity augmentation problem, research for the vertex-connectivity version has been sparse. In this work we present the first polynomial time approximation algorithm that improves the known ratio of 2 for 2-vertex-connectivity augmentation, for the case in which G is a cycle. This is the first step for attacking the more general problem of augmenting a 2-connected graph. Our algorithm is based on local search and attains an approximation ratio of 1.8703. To derive it, we prove novel results on the structure of minimal solutions.
Más información
| Título según SCOPUS: | Approximation Algorithms for Vertex-Connectivity Augmentation on the Cycle |
| Título de la Revista: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Volumen: | 12982 |
| Editorial: | Springer Science and Business Media Deutschland GmbH |
| Fecha de publicación: | 2021 |
| Año de Inicio/Término: | September 6-10, 2021 |
| Página final: | 22 |
| Idioma: | English |
| URL: | https://doi.org/10.1007/978-3-030-92702-8_1 |
| DOI: |
10.1007/978-3-030-92702-8_1 |
| Notas: | SCOPUS |