IMPROVED BRANCH-AND-PRICE ALGORITHM FOR THE EFFICIENT 2-TERMINAL RELIABILITY PROBLEM

The Efficient 2-Terminal Reliability Problem is a nonlinear optimization problem aimed at designing a minimal-cost network within the reliability guaranties. Recent research has provided Branch-and-Price (BnP) solution based on probability relaxation, the Dantzig–Wolfe decomposition, followed by the column generation technique, and Branch-and-Bound scheme. Unfortunately, the performance of this algorithm deteriorates in cases of high-density graphs and stringent unreliability thresholds. By extending our recent approach, we introduce an improved BnP algorithm supplemented with novel valid inequalities, more efficient nonlinear integer pricing problem solver, primal heuristics, and branching strategies. Evaluation results on benchmarking instances demonstrate significant performance advantage of the proposed method.

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Publication Details

Journal
Ural mathematical journal
Published
2025-12-27
DOI
https://doi.org/10.15826/umj.2025.2.014
Primary Topic
Reliability and Maintenance Optimization
Type
article
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article

IMPROVED BRANCH-AND-PRICE ALGORITHM FOR THE EFFICIENT 2-TERMINAL RELIABILITY PROBLEM

Roman Rudakov
Ural mathematical journal
Reliability and Maintenance Optimization
article

IMPROVED BRANCH-AND-PRICE ALGORITHM FOR THE EFFICIENT 2-TERMINAL RELIABILITY PROBLEM

Roman Rudakov
article en

Abstract

The Efficient 2-Terminal Reliability Problem is a nonlinear optimization problem aimed at designing a minimal-cost network within the reliability guaranties. Recent research has provided Branch-and-Price (BnP) solution based on probability relaxation, the Dantzig–Wolfe decomposition, followed by the column generation technique, and Branch-and-Bound scheme. Unfortunately, the performance of this algorithm deteriorates in cases of high-density graphs and stringent unreliability thresholds. By extending our recent approach, we introduce an improved BnP algorithm supplemented with novel valid inequalities, more efficient nonlinear integer pricing problem solver, primal heuristics, and branching strategies. Evaluation results on benchmarking instances demonstrate significant performance advantage of the proposed method.

Ural mathematical journalVol. 11(2)
N.N. Krasovskii Institute of Mathematics and Mechanics of the Ural Branch of the Russian Academy of Sciences (RU), Ural Branch of the Russian Academy of Sciences (RU)
Openalex Percentile: Top 35%
Reliability and Maintenance Optimization
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