Exponential lower bounds on the size of approximate formulations in the natural encoding for Capacitated Facility Location
Data Structures and Algorithms
2013-12-09 v1
Abstract
The metric capacitated facility location is a well-studied problem for which, while constant factor approximations are known, no efficient relaxation with constant integrality gap is known. The question whether there is such a relaxation is among the most important open problems of approximation algorithms \cite{ShmoysWbook}. In this paper we show that, if one is restricted to linear programs that use the natural encoding for facility location, at least an exponential number of constraints is needed to achieve a constant gap. Our proof does not assume any special property of the relaxation such as locality or symmetry.
Keywords
Cite
@article{arxiv.1312.1819,
title = {Exponential lower bounds on the size of approximate formulations in the natural encoding for Capacitated Facility Location},
author = {Stavros G. Kolliopoulos and Yannis Moysoglou},
journal= {arXiv preprint arXiv:1312.1819},
year = {2013}
}