Approximation algorithms for facility location problems (extended abstract)
STOC '97 Proceedings of the twenty-ninth annual ACM symposium on Theory of computing
Efficient algorithms for geometric optimization
ACM Computing Surveys (CSUR)
Greedy strikes back: improved facility location algorithms
Journal of Algorithms
Improved approximation algorithms for a capacitated facility location problem
Proceedings of the tenth annual ACM-SIAM symposium on Discrete algorithms
An Improved Approximation Algorithm for the Metric Uncapacitated Facility Location Problem
Proceedings of the 9th International IPCO Conference on Integer Programming and Combinatorial Optimization
On Some Optimization Problems in Obnoxious Facility Location
COCOON '00 Proceedings of the 6th Annual International Conference on Computing and Combinatorics
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APPROX '00 Proceedings of the Third International Workshop on Approximation Algorithms for Combinatorial Optimization
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APPROX '02 Proceedings of the 5th International Workshop on Approximation Algorithms for Combinatorial Optimization
Approximation algorithms for hierarchical location problems
Proceedings of the thirty-fifth annual ACM symposium on Theory of computing
Improved Combinatorial Algorithms for the Facility Location and k-Median Problems
FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
Primal-Dual Approximation Algorithms for Metric Facility Location and k-Median Problems
FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
FOCS '00 Proceedings of the 41st Annual Symposium on Foundations of Computer Science
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Facility Location Problems have always been studied with the assumption that the environment in the network is static and does not change over time. In practice, however, the environment is usually dynamic and we must consider the facility location in a global view. In this paper, we impose the following additional constraints on input facilities: the total number of facilities to be placed is not known in advance and a facility cannot be removed once it is placed. We solve this problem by presenting an algorithm to find a facility permutation such that any prefix of the permutation of facilities is near-optimal over any other facility subset.