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Heterogeneous two-facility location games with minimum distance requirement

  • Lingjie Duaii
  • , Bo Li
  • , Minming Li
  • , Xinping Xu*
  • *Corresponding author for this work
  • Singapore University of Technology and Design
  • Stony Brook University
  • City University of Hong Kong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We study the mechanism design problem of a social planner for locating two heterogeneous facilities on a line interval [0,1], where a set of n strategic agents report their locations and a mechanism determines the locations of the two facilities. Unlike prior work on two-facility location games, we consider the requirement of the minimum distance d between the two facilities. As the two facilities are heterogeneous and have additive effects on agents, we model that the cost of an agent is the sum of his distances to both facilities and the social cost is the total cost of all agents. In the two-facility location game to minimize the social cost, we show that the optimal solution can be computed in polynomial time and prove that carefully choosing one optimal solution as output is strategyproof. In the obnoxious two-facility location game for maximizing the social utility, a mechanism outputting the optimal solution is not strategyproof and we propose new deterministic group strategyproof mechanisms with provable approximation ratios. Moreover, we establish a lower bound for the approximation ratio achievable by deterministic strategyproof mechanisms. Finally, we study the two-facility location game with triple-preference, where each of the two facilities may be favorable, obnoxious, indifferent for any agent. We further allow each agent to misreport his location and preference towards the two facilities and design a deterministic group strategyproof mechanism with approximation ratio 4.

Original languageEnglish
Title of host publication18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages1461-1469
Number of pages9
ISBN (Electronic)9781510892002
StatePublished - 2019
Externally publishedYes
Event18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019 - Montreal, Canada
Duration: 13 May 201917 May 2019

Publication series

NameProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Volume3
ISSN (Print)1548-8403
ISSN (Electronic)1558-2914

Conference

Conference18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019
Country/TerritoryCanada
CityMontreal
Period13/05/1917/05/19

Keywords

  • Approximation algorithms
  • Facility location
  • Mechanism design
  • Minimum distance

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