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Facility location games with optional preference

  • Zhihuai Chen
  • , Ken C.K. Fong
  • , Minming Li
  • , Kai Wang*
  • , Hongning Yuan
  • , Yong Zhang
  • *此作品的通讯作者
  • CAS - Institute of Computing Technology
  • University of Chinese Academy of Sciences
  • Chu Hai College of Higher Education
  • City University of Hong Kong
  • University Town of Shenzhen

科研成果: 期刊稿件文章同行评审

摘要

In this paper, we study the optional preference model of the facility location game problem with two heterogeneous facilities on a line. The preference of each agent is one of the two facilities or both facilities, and the cost of each agent is a function of the distances to the facilities that the agent prefers. We consider two cost functions: Minimum Distance and Maximum Distance functions. Aiming at minimizing the maximum cost or the social cost of agents, we propose different strategyproof mechanisms without monetary transfers and derive both lower and upper bounds of the approximation ratios with respect to strategyproof mechanisms. In the variant of Minimum Distance, we propose a 2-approximation deterministic strategyproof mechanism for the maximum cost objective, and prove a lower bound of 4/3, while for the social cost objective we propose a (n/2+1)-approximation deterministic strategyproof mechanism and prove a lower bound of 2, also a lower bound of 3/2 for randomized mechanisms. In the variant of Maximum Distance, we propose an optimal deterministic strategyproof mechanism for the maximum cost objective and a 2-approximation deterministic strategyproof mechanism for the social cost objective.

源语言英语
页(从-至)185-197
页数13
期刊Theoretical Computer Science
847
DOI
出版状态已出版 - 22 12月 2020
已对外发布

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