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Approximating capacitated κ-median with (l + ∈)k open facilities

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45 Scopus citations

Abstract

In the capacitated κ-median (CKM) problem, we are given a set F of facilities, each facility i ∈ F with a capacity Ui, a set C of clients, a metric d over FUC and an integer κ. The goal is to open κ facilities in F and connect the clients C to the open facilities such that each facility i is connected by at most Ui clients, so as to minimize the total connection cost. In this paper, we give the first constant approximation for CKM, that only violates the cardinality constraint by a factor of 1 + ∈. This generalizes the result of [Lil5], which only works for the uniform capacitated case. Moreover, the approximation ratio we obtain is O(1/2log 1/∈), which is an exponential improvement over the ratio of exp (O(1/2)) in [Lil5]. The natural LP relaxation for the problem, which almost all previous algorithms for CKM are based on, has unbounded integrality gap even if (2-∈)κ facilities can be opened. We introduce a novel configuration LP for the problem, that overcomes this integrality gap. On the downside, each facility may be opened twice by our algorithm.

Original languageEnglish
Title of host publication27th Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2016
EditorsRobert Krauthgamer
PublisherAssociation for Computing Machinery
Pages786-796
Number of pages11
ISBN (Electronic)9781510819672
StatePublished - 2016
Event27th Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2016 - Arlington, United States
Duration: Jan 10 2016Jan 12 2016

Publication series

NameProceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms
Volume2

Conference

Conference27th Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2016
Country/TerritoryUnited States
CityArlington
Period01/10/1601/12/16

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