TY - JOUR
T1 - Strategyproof mechanism for two heterogeneous facilities with constant approximation ratio
AU - Li, Minming
AU - Lu, Pinyan
AU - Sha, Xingchen
AU - Yao, Yuhao
AU - Zhang, Jialin
N1 - Publisher Copyright:
© 2026 Elsevier Inc.
PY - 2026/3
Y1 - 2026/3
N2 - In this paper, we study the two-facility location games with optional preference where the acceptable set of facilities for each agent could be different and an agent’s cost is his distance to the closest facility within his acceptable set. The objective is to minimize the total cost of all agents while achieving strategyproofness. For general metrics, we design a deterministic strategyproof mechanism for the problem with an approximation ratio of 1+2α, where α is the approximation ratio of the offline optimization version. In particular, for the setting on a line, our mechanism achieves an approximation ratio of 1+2, which is tight and improves the previous best upper bound of n/2+1 (Chen et al., 2020).
AB - In this paper, we study the two-facility location games with optional preference where the acceptable set of facilities for each agent could be different and an agent’s cost is his distance to the closest facility within his acceptable set. The objective is to minimize the total cost of all agents while achieving strategyproofness. For general metrics, we design a deterministic strategyproof mechanism for the problem with an approximation ratio of 1+2α, where α is the approximation ratio of the offline optimization version. In particular, for the setting on a line, our mechanism achieves an approximation ratio of 1+2, which is tight and improves the previous best upper bound of n/2+1 (Chen et al., 2020).
KW - Algorithmic game theory
KW - Computational social choice
KW - Facility location
UR - https://www.scopus.com/pages/publications/105029020237
U2 - 10.1016/j.geb.2026.01.008
DO - 10.1016/j.geb.2026.01.008
M3 - 文章
AN - SCOPUS:105029020237
SN - 0899-8256
VL - 157
SP - 125
EP - 137
JO - Games and Economic Behavior
JF - Games and Economic Behavior
ER -