Analysis of a local search heuristic for facility location problems
Journal of Algorithms
Facility Location with Nonuniform Hard Capacities
FOCS '01 Proceedings of the 42nd IEEE symposium on Foundations of Computer Science
Local Search Heuristics for k-Median and Facility Location Problems
SIAM Journal on Computing
Improved approximation algorithms for capacitated facility location problems
Mathematical Programming: Series A and B
A Multiexchange Local Search Algorithm for the Capacitated Facility Location Problem
Mathematics of Operations Research
New approximation algorithms for the unsplittable capacitated facility location problem
SWAT'12 Proceedings of the 13th Scandinavian conference on Algorithm Theory
A 5-approximation for capacitated facility location
ESA'12 Proceedings of the 20th Annual European conference on Algorithms
Optimizing client assignment for enhancing interactivity in distributed interactive applications
IEEE/ACM Transactions on Networking (TON)
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We consider the facility location problem where each facility can serve at most U clients. We analyze a local search algorithm for this problem which uses only the operations of add, delete and swap and prove that any locally optimum solution is no more than 3 times the global optimum. This improves on a result of Chudak and Williamson who proved an approximation ratio of $3+2\sqrt{2}$ for the same algorithm. We also provide an example which shows that our analysis is tight.