On Solving the Minimum Spanning Tree Problem with Conflicting Edge Pairs

The Minimum Spanning Tree with Conflicting Edge Pairs is a generalization that adds conflict constraints to a classical optimization problem on graphs used to model several real-world applications. In recent years, several heuristic and exact approaches have been proposed to tackle this problem. In this paper, we present a mixed-integer linear program not previously applied to this problem, and we solve it with an open-source solver. Computational results for the benchmark instances commonly adopted in the literature of the problem are reported. The results indicate that the approach we propose obtains results aligned with those of the much more sophisticated approaches available, notwithstanding it being much simpler to implement. During the experimental campaign, six instances were closed for the first time, with nine improved best-known lower bounds and sixteen improved best-known upper bounds over a total of two hundred thirty instances considered.

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Publication Details

Journal
Algorithms
Published
2025-08-18
DOI
https://doi.org/10.3390/a18080526
Citations
3
Primary Topic
Vehicle Routing Optimization Methods
Type
article
Field-Weighted Citation Impact
3.73

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article

On Solving the Minimum Spanning Tree Problem with Conflicting Edge Pairs

Roberto Montemanni, Derek H. Smith
3 citations
Algorithms
Vehicle Routing Optimization Methods
3.73
article

On Solving the Minimum Spanning Tree Problem with Conflicting Edge Pairs

Roberto Montemanni, Derek H. Smith
article en
3 citations

Abstract

The Minimum Spanning Tree with Conflicting Edge Pairs is a generalization that adds conflict constraints to a classical optimization problem on graphs used to model several real-world applications. In recent years, several heuristic and exact approaches have been proposed to tackle this problem. In this paper, we present a mixed-integer linear program not previously applied to this problem, and we solve it with an open-source solver. Computational results for the benchmark instances commonly adopted in the literature of the problem are reported. The results indicate that the approach we propose obtains results aligned with those of the much more sophisticated approaches available, notwithstanding it being much simpler to implement. During the experimental campaign, six instances were closed for the first time, with nine improved best-known lower bounds and sixteen improved best-known upper bounds over a total of two hundred thirty instances considered.

AlgorithmsVol. 18(8)
University of Modena and Reggio Emilia (IT), University of South Wales (GB)
Google
Openalex Percentile: Top 6%
Vehicle Routing Optimization Methods
3.73
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