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Improved Approximation Algorithms for Capacitated Fault-Tolerant k-Center

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Author(s):
Fernandes, Cristina G. ; de Paula, Samuel P. ; Pedrosa, Lehilton L. C.
Total Authors: 3
Document type: Journal article
Source: ALGORITHMICA; v. 80, n. 3, p. 32-pg., 2018-03-01.
Abstract

In the -center problem, given a metric space V and a positive integer k, one wants to select k elements (centers) of V and an assignment from V to centers, minimizing the maximum distance between an element of V and its assigned center. One of the most general variants is the capacitated -fault-tolerant k-center, where centers have a limit on the number of assigned elements, and, if any centers fail, there is a reassignment from V to non-faulty centers. In this paper, we present a new approach to tackle fault tolerance, by selecting and pre-opening a set of backup centers, then solving the obtained residual instance. For the -capacitated case, we give approximations with factor 6 for the basic problem, and 7 for the so called conservative variant, when only clients whose centers failed may be reassigned. Our algorithms improve on the best previously known factors of 9 and 17, respectively. Moreover, we consider the case with general capacities. Assuming is constant, our method leads to the first approximations for this case. We also derive approximations for the capacitated fault-tolerant k-supplier problem. (AU)

FAPESP's process: 14/14209-1 - Approximation algorithms for network design problems with restrictions
Grantee:Lehilton Lelis Chaves Pedrosa
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 13/03447-6 - Combinatorial structures, optimization, and algorithms in theoretical Computer Science
Grantee:Carlos Eduardo Ferreira
Support Opportunities: Research Projects - Thematic Grants