Details of Research Outputs

TitleMechanism Design for Facility Location Games with Candidate Locations
Creator
Date Issued2020
Conference Name14th International Conference on Combinatorial Optimization and Applications, COCOA 2020
Source PublicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN9783030648428
ISSN0302-9743
Volume12577 LNCS
Pages440-452
Conference DateDecember 11-13, 2020
Conference PlaceDallas
Abstract

We study the facility location games with candidate locations from a mechanism design perspective. Suppose there are n agents located in a metric space whose locations are their private information, and a group of candidate locations for building facilities. The authority plans to build some homogeneous facilities among these candidates to serve the agents, who bears a cost equal to the distance to the closest facility. The goal is to design mechanisms for minimizing the total/maximum cost among the agents. For the single-facility problem under the maximum-cost objective, we give a deterministic 3-approximation group strategy-proof mechanism, and prove that no deterministic (or randomized) strategy-proof mechanism can have an approximation ratio better than 3 (or 2). For the two-facility problem on a line, we give an anonymous deterministic group strategy-proof mechanism that is (2 n- 3 ) -approximation for the total-cost objective, and 3-approximation for the maximum-cost objective. We also provide (asymptotically) tight lower bounds on the approximation ratio.

KeywordFacility location Mechanism design Social choice
DOI10.1007/978-3-030-64843-5_30
URLView source
Language英语English
Scopus ID2-s2.0-85097848110
Citation statistics
Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/9236
CollectionResearch outside affiliated institution
Corresponding AuthorZhang, Mengqi
Affiliation
1.School of Sciences,Beijing University of Posts and Telecommunications,Beijing,100876,China
2.Department of Computer Science and Engineering,University of Nebraska-Lincoln,Lincoln,United States
3.Academy of Mathematics and Systems Science,Chinese Academy of Sciences,Beijing,100190,China
4.School of Mathematical Sciences,University of Chinese Academy of Sciences,Beijing,100049,China
5.Caritas Institute of Higher Education,HKSAR,Hong Kong
Recommended Citation
GB/T 7714
Tang, Zhongzheng,Wang, Chenhao,Zhang, Mengqiet al. Mechanism Design for Facility Location Games with Candidate Locations[C], 2020: 440-452.
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