Title | Mechanism Design for Facility Location Games with Candidate Locations |
Creator | |
Date Issued | 2020 |
Conference Name | 14th International Conference on Combinatorial Optimization and Applications, COCOA 2020 |
Source Publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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ISBN | 9783030648428 |
ISSN | 0302-9743 |
Volume | 12577 LNCS |
Pages | 440-452 |
Conference Date | December 11-13, 2020 |
Conference Place | Dallas |
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. |
Keyword | Facility location Mechanism design Social choice |
DOI | 10.1007/978-3-030-64843-5_30 |
URL | View source |
Language | 英语English |
Scopus ID | 2-s2.0-85097848110 |
Citation statistics |
Cited Times [WOS]:0
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Document Type | Conference paper |
Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/9236 |
Collection | Research outside affiliated institution |
Corresponding Author | Zhang, 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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