Riesz energy minimization facility location problem in the plane: Complexity and a polynomial-time approximation scheme

• Defines the Riesz Energy Minimization Facility Location Problem • Proves NP-hardness in general metrics via reduction from Independent Set • Analyzes limiting behavior interpolating dispersion and uniform selection • Develops a PTAS for the planar case under minimum-separation condition • Achieves ( 1 + ϵ ) approximation in polynomial time for fixed facility count. This article introduces a geometric facility location problem that minimizes total Riesz interaction energy among p selected sites in the Euclidean plane. The objective generalizes the classical p -dispersion criterion by penalizing spatial proximity through inverse power distances, thereby promoting global dispersion in a smooth manner. The problem is shown to be NP-hard in general metric spaces. A Polynomial-Time Approximation Scheme (PTAS) is developed for the planar case for a truncated Riesz objective (for fixed p ), with the same approximation guarantee extending to the original objective whenever the candidate set satisfies a natural minimum-separation condition. Furthermore, limiting analysis shows that the Riesz objective provides a smooth interpolation between strict dispersion and uniform selection, depending on the strength of the interaction exponent.

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Publication Details

Journal
Theoretical Computer Science
Published
2026-02-18
DOI
https://doi.org/10.1016/j.tcs.2026.115833
Primary Topic
Facility Location and Emergency Management
Type
article
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article

Riesz energy minimization facility location problem in the plane: Complexity and a polynomial-time approximation scheme

Soumen Atta
Theoretical Computer Science
Facility Location and Emergency Management
article

Riesz energy minimization facility location problem in the plane: Complexity and a polynomial-time approximation scheme

Soumen Atta
article en

Abstract

• Defines the Riesz Energy Minimization Facility Location Problem • Proves NP-hardness in general metrics via reduction from Independent Set • Analyzes limiting behavior interpolating dispersion and uniform selection • Develops a PTAS for the planar case under minimum-separation condition • Achieves ( 1 + ϵ ) approximation in polynomial time for fixed facility count. This article introduces a geometric facility location problem that minimizes total Riesz interaction energy among p selected sites in the Euclidean plane. The objective generalizes the classical p -dispersion criterion by penalizing spatial proximity through inverse power distances, thereby promoting global dispersion in a smooth manner. The problem is shown to be NP-hard in general metric spaces. A Polynomial-Time Approximation Scheme (PTAS) is developed for the planar case for a truncated Riesz objective (for fixed p ), with the same approximation guarantee extending to the original objective whenever the candidate set satisfies a natural minimum-separation condition. Furthermore, limiting analysis shows that the Riesz objective provides a smooth interpolation between strict dispersion and uniform selection, depending on the strength of the interaction exponent.

Theoretical Computer ScienceVol. 1070
University of Jyväskylä (FI)
Affordable and clean energy
Openalex Percentile: Top 55%
Facility Location and Emergency Management
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Riesz energy minimization facility location problem in the plane: Complexity and a polynomial-time approximation scheme — Soumen Atta · Theoretical Computer Science (2026) | TGRS Research Map | TGRS