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Strategy-proof mechanisms for maximizing social satisfaction in the facility location game

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  • Xiaowei Li

    (Changsha University of Science and Technology
    East China University of Science and Technology)

  • Xiwen Lu

    (East China University of Science and Technology)

Abstract

The facility location game, where the agents’ locations are on a line, is considered in this paper. The input consists of the reported locations of agents, which are collected as part of the game setup. We introduce the concept of a fairness baseline and define a function to characterize each agent’s satisfaction with the facility location. Our objective is to establish a mechanism that obtains the true information of agents and outputs a single facility location so that the sum of all agents’ satisfaction with the location is maximized. For the game with two agents, we propose a $$\frac{5}{4}$$ -approximate strategy-proof mechanism, which is the best possible. In the general case, we demonstrate that the median mechanism achieves an approximation ratio of $$\frac{3}{2}$$ . In particular, the median mechanism is an optimal group strategy-proof mechanism for the game with three agents. Additionally, we devise a $$\frac{1+\sqrt{3}}{2}$$ -approximation group strategy-proof mechanism by modifying the median mechanism. We also consider social satisfaction in the obnoxious facility location game and design a mechanism based on the median of the input.

Suggested Citation

  • Xiaowei Li & Xiwen Lu, 2025. "Strategy-proof mechanisms for maximizing social satisfaction in the facility location game," Journal of Combinatorial Optimization, Springer, vol. 50(2), pages 1-20, September.
  • Handle: RePEc:spr:jcomop:v:50:y:2025:i:2:d:10.1007_s10878-025-01341-z
    DOI: 10.1007/s10878-025-01341-z
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    References listed on IDEAS

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    1. Qi Zhao & Wenjing Liu & Qingqin Nong & Qizhi Fang, 2023. "Constrained heterogeneous facility location games with max-variant cost," Journal of Combinatorial Optimization, Springer, vol. 45(3), pages 1-20, April.
    2. Gai, Ling & Liang, Mengpei & Wang, Chenhao, 2024. "Two-facility-location games with mixed types of agents," Applied Mathematics and Computation, Elsevier, vol. 466(C).
    3. Noga Alon & Michal Feldman & Ariel D. Procaccia & Moshe Tennenholtz, 2010. "Strategyproof Approximation of the Minimax on Networks," Mathematics of Operations Research, INFORMS, vol. 35(3), pages 513-526, August.
    4. Qiaoming Han & Donglei Du & Dachuan Xu & Yicheng Xu, 2018. "Approximate efficiency and strategy-proofness for moneyless mechanisms on single-dipped policy domain," Journal of Global Optimization, Springer, vol. 70(4), pages 859-873, April.
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