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A cost-constrained dismantling framework for hypergraph with dynamic cascading failure using deep reinforcement learning

delete2025-09-24
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PRE
AI
T
Ting Jiang
K
Kai Liu
H
Haifeng Zhang
H
Huan Wang *
DOI:10.1016/j.physa.2025.130988delete
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Abstract

Abstract

En 中文
• Proposes a hypergraph capacity-load model to represent cascading failure phenomena. • Introduces a hypergraph dismantling model with cost constraints. • Presents C2HD-RL, a dynamic cascading hypergraph dismantling framework using deep RL. • C2HD-RL reduces hypergraph connectivity efficiently at lower attack cost.

Journal

P
Physica A: Statistical Mechanics and its Applications
IF:
3.1
Papers:
1.3K
Citations:
3.6W

Organization

A
anhui university
Scholars:
1.9W
Papers: 1.2W
Citations: 24