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Profit-earning facility location
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Source Annual ACM Symposium on Theory of Computing archive
Proceedings of the thirty-third annual ACM symposium on Theory of computing table of contents
Hersonissos, Greece
Pages: 30 - 36  
Year of Publication: 2001
ISBN:1-58113-349-9
Author
Adam Meyerson  Department of Computer Science, Stanford University, Stanford, CA
Sponsor
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
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ABSTRACT

We consider opening facilities in order to gain a profit. We are given a set of demand points, and we must open some set of facilities such that every demand may be satisfied from a local facility and the total profit gained in this process is maximized. This contrasts with previous work on facility location and k-center problems, where opening a facility incurred a cost. The profit gained by opening a facility is a function of the amount of demand the facility satisfies. We model the dependence of profit on demand by creating many different possible facilities at each location, each of which provides a certain profit if opened and requires at least a certain amount of demand in order to open. Our model captures problem instances where profits may be positive or negative, and also instances where it is not necessary to satisfy every demand. Our algorithms provide the optimum total profit, while stretching the definition of locality by a constant and violating the required demands by a constant. We prove that without this stretch, the problem becomes NP-Hard to approximate.


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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Dorit Hochbaum and David Shmoys. A best possible heuristic for the k-center problem. Math of Operations Research, 10(2):180{184, 1985.
 
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D. Shmoys and E. Tardos. An approximation algorithm for the generalized assignment problem. Proceedings of the 4th Annual ACM-SIAM SODA, 1993.
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