mlsanityData to 14 Oct 2026

Nash Welfare and Facility Location

arXiv 2310.04102 ↗First posted 6 Oct 2023cs.GT cs.AI cs.MAcited by 1

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Abstract (arXiv)

We consider the problem of locating a facility to serve a set of agents located along a line. The Nash welfare objective function, defined as the product of the agents' utilities, is known to provide a compromise between fairness and efficiency in resource allocation problems. We apply this welfare notion to the facility location problem, converting individual costs to utilities and analyzing the facility placement that maximizes the Nash welfare. We give a polynomial-time approximation algorithm to compute this facility location, and prove results suggesting that it achieves a good balance of fairness and efficiency. Finally, we take a mechanism design perspective and propose a strategy-proof mechanism with a bounded approximation ratio for Nash welfare.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 6 of its 39 references that are in the map. First posted on arXiv 6 Oct 2023.

Builds on

6 of 39 references.

References · 6

  1. 2017Fair mixing: the case of dichotomous preferencescited by 14
  2. 2015On Voting and Facility Locationcited by 10
  3. 2019Facility Location Problem with Capacity Constraints: Algorithmic and Mechanism Design Perspectivescited by 8
  4. 2018The Capacity Constrained Facility Location problemcited by 5
  5. 2013Strategy-Proof Facility Location for Concave Cost Functionscited by 1
  6. 2020Strategy Proof Mechanisms for Facility Location in Euclidean and Manhattan Spacecited by 1

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