Deligkas, Argyrios and Lotfi, Mohammad and Voudouris, Alexandros (2025) Agent-constrained truthful facility location games. Journal of Combinatorial Optimization, 49 (2). p. 24. DOI https://doi.org/10.1007/s10878-025-01258-7 (In Press)
Deligkas, Argyrios and Lotfi, Mohammad and Voudouris, Alexandros (2025) Agent-constrained truthful facility location games. Journal of Combinatorial Optimization, 49 (2). p. 24. DOI https://doi.org/10.1007/s10878-025-01258-7 (In Press)
Deligkas, Argyrios and Lotfi, Mohammad and Voudouris, Alexandros (2025) Agent-constrained truthful facility location games. Journal of Combinatorial Optimization, 49 (2). p. 24. DOI https://doi.org/10.1007/s10878-025-01258-7 (In Press)
Abstract
We consider a truthful facility location game in which there is a set of agents with private locations on the line of real numbers, and the goal is to place a number of facilities at different locations chosen from the set of those reported by the agents. Given a feasible solution, each agent suffers an individual cost that is either its total distance to all facilities (sum-variant) or its distance to the farthest facility (max-variant). For both variants, we show tight bounds on the approximation ratio of strategyproof mechanisms in terms of the social cost, the total individual cost of the agents.
Item Type: | Article |
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Uncontrolled Keywords: | Approximation ratio; Facility location; Mechanism design |
Divisions: | Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 19 Aug 2025 10:11 |
Last Modified: | 19 Aug 2025 10:11 |
URI: | http://repository.essex.ac.uk/id/eprint/40062 |
Available files
Filename: s10878-025-01258-7.pdf
Licence: Creative Commons: Attribution 4.0