TY - GEN

T1 - Exact and approximation algorithms for geometric and capacitated set cover problems

AU - Berman, Piotr

AU - Karpinski, Marek

AU - Lingas, Andrzej

PY - 2010/8/3

Y1 - 2010/8/3

N2 - First, we study geometric variants of the standard set cover motivated by assignment of directional antenna and shipping with deadlines, providing the first known polynomial-time exact solutions. Next, we consider the following general (non-necessarily geometric) capacitated set cover problem. There is given a set of elements with real weights and a family of sets of the elements. One can use a set if it is a subset of one of the sets in the family and the sum of the weights of its elements is at most one. The goal is to cover all the elements with the allowed sets. We show that any polynomial-time algorithm that approximates the uncapacitated version of the set cover problem with ratio r can be converted to an approximation algorithm for the capacitated version with ratio r+1.357. The composition of these two results yields a polynomial-time approximation algorithm for the problem of covering a set of customers represented by a weighted n-point set with a minimum number of antennas of variable angular range and fixed capacity with ratio 2.357.

AB - First, we study geometric variants of the standard set cover motivated by assignment of directional antenna and shipping with deadlines, providing the first known polynomial-time exact solutions. Next, we consider the following general (non-necessarily geometric) capacitated set cover problem. There is given a set of elements with real weights and a family of sets of the elements. One can use a set if it is a subset of one of the sets in the family and the sum of the weights of its elements is at most one. The goal is to cover all the elements with the allowed sets. We show that any polynomial-time algorithm that approximates the uncapacitated version of the set cover problem with ratio r can be converted to an approximation algorithm for the capacitated version with ratio r+1.357. The composition of these two results yields a polynomial-time approximation algorithm for the problem of covering a set of customers represented by a weighted n-point set with a minimum number of antennas of variable angular range and fixed capacity with ratio 2.357.

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U2 - 10.1007/978-3-642-14031-0_26

DO - 10.1007/978-3-642-14031-0_26

M3 - Conference contribution

AN - SCOPUS:77955024653

SN - 3642140300

SN - 9783642140303

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 226

EP - 234

BT - Computing and Combinatorics - 16th Annual International Conference, COCOON 2010, Proceedings

T2 - 16th Annual International Computing and Combinatorics Conference, COCOON 2010

Y2 - 19 July 2010 through 21 July 2010

ER -