| Facility location with hierarchical facility costs |
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Symposium on Discrete Algorithms
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Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm
table of contents
Miami, Florida
Pages: 153 - 161
Year of Publication: 2006
ISBN:0-89871-605-5
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Downloads (6 Weeks): 8, Downloads (12 Months): 47, Citation Count: 1
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ABSTRACT
We consider the facility location problem with hierarchical facility costs, and give a (4.236 + ε)-approximation algorithm using local search. The hierarchical facility location problem models multilevel service installation costs. Shmoys, Swamy and Levi [13] gave an approximation algorithm for a two-level version of the problem. Here we consider a multilevel problem, and give a constant factor approximation algorithm, independent of the number of levels, for the case of identical costs on all facilities.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Vijay Arya , Naveen Garg , Rohit Khandekar , Kamesh Munagala , Vinayaka Pandit, Local search heuristic for k-median and facility location problems, Proceedings of the thirty-third annual ACM symposium on Theory of computing, p.21-29, July 2001, Hersonissos, Greece
[doi> 10.1145/380752.380755]
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Z. Drezner. Facility Location: A Survey of Applications and Methods. Springer, 1995.
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M. Mahdian and M. Pál. Universal facility location. In European Symposium on Algorithms, pages 409--421, 2003.
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David B. Shmoys , Éva Tardos , Karen Aardal, Approximation algorithms for facility location problems (extended abstract), Proceedings of the twenty-ninth annual ACM symposium on Theory of computing, p.265-274, May 04-06, 1997, El Paso, Texas, United States
[doi> 10.1145/258533.258600]
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