FLIGHT: Facility Location Integrating Generalized, Holistic Theory of Welfare

Fuente: arXiv
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Main Authors: Vummintala, Avyukta Manjunatha, Gupta, Shivam, Jain, Shweta, Gujar, Sujit
Format: Preprint
Published: 2025
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author Vummintala, Avyukta Manjunatha
Gupta, Shivam
Jain, Shweta
Gujar, Sujit
author_facet Vummintala, Avyukta Manjunatha
Gupta, Shivam
Jain, Shweta
Gujar, Sujit
contents The Facility Location Problem (FLP) is a well-studied optimization problem with applications in many real-world scenarios. Past literature has explored the solutions from different perspectives to tackle FLPs. These include investigating FLPs under objective functions such as utilitarian, egalitarian, Nash welfare, etc. Also, there is no treatment for asymmetric welfare functions around the facility. We propose a unified framework, FLIGHT, to accommodate a broad class of welfare notions. The framework undergoes rigorous theoretical analysis, and we prove some structural properties of the solution to FLP. Additionally, we provide approximation bounds, which provide insight into an interesting fact: as the number of agents arbitrarily increases, the choice of welfare notion is irrelevant. Furthermore, the paper also includes results around concentration bounds under certain distributional assumptions over the preferred locations of agents.
format Preprint
id arxiv_https___arxiv_org_abs_2502_14732
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle FLIGHT: Facility Location Integrating Generalized, Holistic Theory of Welfare
Vummintala, Avyukta Manjunatha
Gupta, Shivam
Jain, Shweta
Gujar, Sujit
Computer Science and Game Theory
The Facility Location Problem (FLP) is a well-studied optimization problem with applications in many real-world scenarios. Past literature has explored the solutions from different perspectives to tackle FLPs. These include investigating FLPs under objective functions such as utilitarian, egalitarian, Nash welfare, etc. Also, there is no treatment for asymmetric welfare functions around the facility. We propose a unified framework, FLIGHT, to accommodate a broad class of welfare notions. The framework undergoes rigorous theoretical analysis, and we prove some structural properties of the solution to FLP. Additionally, we provide approximation bounds, which provide insight into an interesting fact: as the number of agents arbitrarily increases, the choice of welfare notion is irrelevant. Furthermore, the paper also includes results around concentration bounds under certain distributional assumptions over the preferred locations of agents.
title FLIGHT: Facility Location Integrating Generalized, Holistic Theory of Welfare
topic Computer Science and Game Theory
url https://arxiv.org/abs/2502.14732