Approximation algorithms for bounded facility location

0Citations
Citations of this article
10Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The bounded k-median problem is to select in an undirected graph G = (V,E) a set S of k vertices such that the maximum distance from a vertex υ ∈ V to S is at most a given bound d and the average distance from vertices V to S is minimized. We present randomized algorithms for several versions of this problem. We also study the bounded version of the uncapacitated facility location problem. For this latter problem we present extensions of known deterministic algorithms for the unbounded version, and we prove some inapproximability results.

Cite

CITATION STYLE

APA

Krysta, P., & Solis-Oba, R. (1999). Approximation algorithms for bounded facility location. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1627, pp. 241–250). Springer Verlag. https://doi.org/10.1007/3-540-48686-0_24

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free