Approximately Optimal Mechanisms for Strategyproof Facility Location: Minimizing L-p Norm of Costs

作者：Feigenbaum Itai^*; Sethuraman Jay; Ye Chun

来源：Mathematics of Operations Research, 2017, 42(2): 434-447.

DOI：10.1287/moor.2016.0810

• mechanism design
• approximation
• facility location
• randomized algorithms
• median

This paper is concerned with the problem of locating a facility on a line in the presence of strategic agents, also located on that line. Each agent incurs a cost equal to her distance to the facility whereas the planner wishes to minimize the L-p norm of the vector of agent costs. The location of each agent is only privately known, and the goal is to design a strategyproof mechanism that approximates the optimal cost well. It is shown that the median mechanism provides a 2(1-1/p) approximation ratio, and that this is the optimal approximation ratio among all deterministic strategyproof mechanisms. For randomized mechanisms, two results are shown: First, for any integer p larger than 2, no mechanism-from a rather large class of randomized mechanisms-has an approximation ratio better than that of the median mechanism. This is in contrast to the case of p = 2 and p = 1 where a randomized mechanism provably helps improve the worst case approximation ratio. Second, for the case of 2 agents, the Left-Right-Middle (LRM) mechanism, first designed by Procaccia and Tennenholtz for the special case of infinity norm, provides the optimal approximation ratio among all randomized mechanisms.

• 出版日期2017-5