Distributed Facility Location Games with Candidate Locations
Feiyue Sun

TL;DR
This paper investigates distributed facility location games with candidate sites, proposing strategyproof mechanisms with bounded distortion in desirable settings and highlighting impossibility results in obnoxious settings.
Contribution
It introduces new strategyproof mechanisms with bounded distortion for various cost objectives in distributed facility location games.
Findings
Strategyproof mechanisms with 5-distortion for max of sum cost.
Lower bounds on distortion for strategyproof mechanisms.
Impossibility of bounded distortion mechanisms in obnoxious settings.
Abstract
We study the distributed facility location games with candidate locations, where agents on a line are partitioned into groups. Both desirable and obnoxious facility location settings are discussed. In distributed location problems, distortion can serve as a standard for quantifying performance, measuring the degree of difference between the actual location plan and the ideal location plan. For the desirable setting, under the max of sum cost objective, we give a strategyproof distributed mechanism with -distortion, and prove that no strategyproof mechanism can have a distortion better than . Under the sum of max cost objective, we give a strategyproof distributed mechanism with -distortion, and prove that no strategyproof mechanism can have a distortion better than . Under the max of max cost, we get a strategyproof distributed mechanism with…
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Taxonomy
TopicsVehicle Routing Optimization Methods · Facility Location and Emergency Management · Data Management and Algorithms
