Greedy strikes back: improved facility location algorithms
Journal of Algorithms
Algorithms for facility location problems with outliers
SODA '01 Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms
Improved Combinatorial Algorithms for Facility Location Problems
SIAM Journal on Computing
Network design for information networks
SODA '05 Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms
SODA '07 Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms
A 1.488 approximation algorithm for the uncapacitated facility location problem
ICALP'11 Proceedings of the 38th international conference on Automata, languages and programming - Volume Part II
Approximation algorithms for supply chain planning and logistics problems with market choice
Mathematical Programming: Series A and B
Hi-index | 5.23 |
We offer the currently best approximation ratio 2.375 for the facility location problem with submodular penalties (FLPSP), improving not only the previous best combinatorial ratio 3, but also the previous best non-combinatorial ratio 2.488. We achieve this improved ratio by combining the primal-dual scheme with the greedy augmentation technique.