Constant factor Approximation Algorithms for Uniform Hard Capacitated Facility Location Problems: Natural LP is not too bad
Sapna Grover, Neelima Gupta, Samir Khuller, Aditya Pancholi

TL;DR
This paper introduces the first constant factor approximation algorithms for capacitated facility location problems with uniform capacities, using natural LP relaxations and capacity violations, advancing the understanding of these problems.
Contribution
It presents novel constant factor approximation algorithms for capacitated knapsack median and facility location problems, allowing small capacity violations and analyzing the natural LP's effectiveness.
Findings
Achieved constant factor approximation for CKM with additive capacity violation.
Provided constant factor approximation for capacitated facility location with minimal capacity violation.
Fixed issues in previous proofs for capacitated k-facility location, improving theoretical guarantees.
Abstract
In this paper, we give first constant factor approximation for capacitated knapsack median problem (CKM) for hard uniform capacities, violating the budget only by an additive factor of where is the maximum cost of a facility opened by the optimal and violating capacities by factor. Natural LP for the problem is known to have an unbounded integrality gap when any one of the two constraints is allowed to be violated by a factor less than . Thus, we present a result which is very close to the best achievable from the natural LP. To the best of our knowledge, the problem has not been studied earlier. For capacitated facility location problem with uniform capacities, a constant factor approximation algorithm is presented violating the capacities a little (). Though constant factor results are known for the problem without violating the…
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Taxonomy
TopicsFacility Location and Emergency Management
