Designs a deterministic strategyproof mechanism for two-facility location on a line with optional agent preferences, achieving 2.75-approximation to social cost.
The Capacity Constrained Facility Location problem
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abstract
We initiate the study of the capacity constrained facility location problem from a mechanism design perspective. The capacity constrained setting leads to a new strategic environment where a facility serves a subset of the population, which is endogenously determined by the ex-post Nash equilibrium of an induced subgame and is not directly controlled by the mechanism designer. Our focus is on mechanisms that are ex-post dominant-strategy incentive compatible (DIC) at the reporting stage. We provide a complete characterization of DIC mechanisms via the family of Generalized Median Mechanisms (GMMs). In general, the social welfare optimal mechanism is not DIC. Adopting the worst-case approximation measure, we attain tight lower bounds on the approximation ratio of any DIC mechanism. The well-known median mechanism is shown to be optimal among the family of DIC mechanisms for certain capacity ranges. Surprisingly, the framework we introduce provides a new characterization for the family of GMMs, and is responsive to gaps in the current social choice literature highlighted by Border and Jordan (1983) and Barbar{\`a}, Mass{\'o} and Serizawa (1998).
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cs.DS 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
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Strategyproof Mechanism for Two Heterogeneous Facilities with Constant Approximation Ratio
Designs a deterministic strategyproof mechanism for two-facility location on a line with optional agent preferences, achieving 2.75-approximation to social cost.