Skip to main navigation Skip to search Skip to main content

Strategyproof mechanism for two heterogeneous facilities with constant approximation ratio

  • Minming Li
  • , Pinyan Lu
  • , Xingchen Sha*
  • , Yuhao Yao
  • , Jialin Zhang
  • *Corresponding author for this work
  • City University of Hong Kong
  • Shanghai University of Finance and Economics
  • Ministry of Education of the People's Republic of China
  • Northwestern University
  • University of Chinese Academy of Sciences
  • CAS - Institute of Computing Technology

Research output: Contribution to journalArticlepeer-review

Abstract

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).

Original languageEnglish
Pages (from-to)125-137
Number of pages13
JournalGames and Economic Behavior
Volume157
DOIs
StatePublished - Mar 2026
Externally publishedYes

Keywords

  • Algorithmic game theory
  • Computational social choice
  • Facility location

Fingerprint

Dive into the research topics of 'Strategyproof mechanism for two heterogeneous facilities with constant approximation ratio'. Together they form a unique fingerprint.

Cite this