科研成果详情

题名Mechanism Design for Facility Location Games with Candidate Locations
作者
发表日期2020
会议名称14th International Conference on Combinatorial Optimization and Applications, COCOA 2020
会议录名称Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN9783030648428
ISSN0302-9743
卷号12577 LNCS
页码440-452
会议日期December 11-13, 2020
会议地点Dallas
摘要

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.

关键词Facility location Mechanism design Social choice
DOI10.1007/978-3-030-64843-5_30
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语种英语English
Scopus入藏号2-s2.0-85097848110
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被引频次[WOS]:0   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/9236
专题个人在本单位外知识产出
通讯作者Zhang, Mengqi
作者单位
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
推荐引用方式
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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