Facility Location with Double-Peaked Preferences


  • Aris Filos-Ratsikas Aarhus University
  • Minming Li City University of Hong Kong
  • Jie Zhang University of Oxford
  • Qiang Zhang University of Warsaw




Facility location, double-peaked preferences, approximation ratio, mechanism design.


We study the problem of locating a single facility on a real line based on the reports of self-interested agents, when agents have double-peaked preferences, with the peaks being on opposite sides of their locations.We observe that double-peaked preferences capture real-life scenarios and thus complement the well-studied notion of single-peaked preferences. We mainly focus on the case where peaks are equidistant from the agents’ locations and discuss how our results extend to more general settings. We show that most of the results for single-peaked preferences do not directly apply to this setting; this makes the problem essentially more challenging. As our main contribution, we present a simple truthful-in-expectation mechanism that achieves an approximation ratio of 1+b/c for both the social and the maximum cost, where b is the distance of the agent from the peak and c is the minimum cost of an agent. For the latter case, we provide a 3/2 lower bound on the approximation ratio of any truthful-in-expectation mechanism. We also study deterministic mechanisms under some natural conditions, proving lower bounds and approximation guarantees. We prove that among a large class of reasonable mechanisms, there is no deterministic mechanism that outpeforms our truthful-in-expectation mechanism.




How to Cite

Filos-Ratsikas, A., Li, M., Zhang, J., & Zhang, Q. (2015). Facility Location with Double-Peaked Preferences. Proceedings of the AAAI Conference on Artificial Intelligence, 29(1). https://doi.org/10.1609/aaai.v29i1.9297



AAAI Technical Track: Game Theory and Economic Paradigms