A bilevel critical node detection problem

Abstract In this study, we formulate a bilevel critical node detection problem for a given threat level and a budget. A leader has a budget to immunize a subset of nodes. An attacker, with the knowledge of the leader’s choice, will remove any set of non-immunized nodes within their budget, which is the threat level. The leader seeks to maximise the pairwise connectivity of the nodes for the worst case removal strategy of the attacker. We solve this problem using a high point relaxation within a branch-and-bound framework. We introduce some valid inequalities to strengthen the formulation and introduce a branching strategy to deal with the bilevel infeasibility. We test this procedure on two graph families with varying number of nodes, edge densities and budgets and share our computational experience.

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Publication Details

Journal
Optimization Letters
Published
2025-10-27
DOI
https://doi.org/10.1007/s11590-025-02258-6
Primary Topic
Facility Location and Emergency Management
Type
article
Field-Weighted Citation Impact
0.00
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article

A bilevel critical node detection problem

Optimization Letters
Facility Location and Emergency Management
article

A bilevel critical node detection problem

article en

Abstract

Abstract In this study, we formulate a bilevel critical node detection problem for a given threat level and a budget. A leader has a budget to immunize a subset of nodes. An attacker, with the knowledge of the leader’s choice, will remove any set of non-immunized nodes within their budget, which is the threat level. The leader seeks to maximise the pairwise connectivity of the nodes for the worst case removal strategy of the attacker. We solve this problem using a high point relaxation within a branch-and-bound framework. We introduce some valid inequalities to strengthen the formulation and introduce a branching strategy to deal with the bilevel infeasibility. We test this procedure on two graph families with varying number of nodes, edge densities and budgets and share our computational experience.

Optimization Letters
University of Strathclyde (GB), University of Florida (US), National University of Mongolia (MN)
Reduced inequalities
Openalex Percentile: Top 37%
Facility Location and Emergency Management
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A bilevel critical node detection problem · Optimization Letters (2025) | TGRS Research Map | TGRS