The two-center problem of uncertain points on cactus graphs

Abstract We study the two-center problem on cactus graphs in facility locations, which aims to place two facilities on the graph network to serve customers in order to minimize the maximum transportation cost. In our problem, the location of each customer is uncertain and may appear at O ( m ) points on the network with probabilities. More specifically, given are a cactus graph G and a set $$\mathcal {P}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>P</mml:mi> </mml:math> of n (weighted) uncertain points where every uncertain point has O ( m ) possible locations on G each associated with a probability and is of a non-negative weight. The problem aims to compute two centers (points) on G so that the maximum (weighted) expected distance of the n uncertain points to their own expected closest center is minimized. No previous algorithms are known for this problem. In this paper, we present the first algorithm for this problem and it solves the problem in $$O(|G|+ m^{2}n^{2}\log mn)$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>O</mml:mi> <mml:mo>(</mml:mo> <mml:mo>|</mml:mo> <mml:mi>G</mml:mi> <mml:mo>|</mml:mo> <mml:mo>+</mml:mo> <mml:msup> <mml:mi>m</mml:mi> <mml:mn>2</mml:mn> </mml:msup> <mml:msup> <mml:mi>n</mml:mi> <mml:mn>2</mml:mn> </mml:msup> <mml:mo>log</mml:mo> <mml:mi>m</mml:mi> <mml:mi>n</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> </mml:math> time.

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Publication Details

Journal
Journal of Combinatorial Optimization
Published
2025-04-21
DOI
https://doi.org/10.1007/s10878-025-01292-5
Primary Topic
Data Management and Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

The two-center problem of uncertain points on cactus graphs

Haitao Xu, Jingru Zhang
Journal of Combinatorial Optimization
Data Management and Algorithms
article

The two-center problem of uncertain points on cactus graphs

Haitao Xu, Jingru Zhang
article en

Abstract

Abstract We study the two-center problem on cactus graphs in facility locations, which aims to place two facilities on the graph network to serve customers in order to minimize the maximum transportation cost. In our problem, the location of each customer is uncertain and may appear at O ( m ) points on the network with probabilities. More specifically, given are a cactus graph G and a set $$\mathcal {P}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>P</mml:mi> </mml:math> of n (weighted) uncertain points where every uncertain point has O ( m ) possible locations on G each associated with a probability and is of a non-negative weight. The problem aims to compute two centers (points) on G so that the maximum (weighted) expected distance of the n uncertain points to their own expected closest center is minimized. No previous algorithms are known for this problem. In this paper, we present the first algorithm for this problem and it solves the problem in $$O(|G|+ m^{2}n^{2}\log mn)$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>O</mml:mi> <mml:mo>(</mml:mo> <mml:mo>|</mml:mo> <mml:mi>G</mml:mi> <mml:mo>|</mml:mo> <mml:mo>+</mml:mo> <mml:msup> <mml:mi>m</mml:mi> <mml:mn>2</mml:mn> </mml:msup> <mml:msup> <mml:mi>n</mml:mi> <mml:mn>2</mml:mn> </mml:msup> <mml:mo>log</mml:mo> <mml:mi>m</mml:mi> <mml:mi>n</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> </mml:math> time.

Journal of Combinatorial OptimizationVol. 49(4)
Cleveland State University (US)
National Science Foundation
Openalex Percentile: Top 91%
Data Management and Algorithms
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